Academician Janusz Kacprzyk

• Professor, Ph.D, D.Sc, dr h.c. mult.
• Fellow of IEEE, IET, IFSA, EurAI, IFIP, AAIA, SMIA
• Phone: (+48) 22 3810275 – office; (+48) 604542988 (mobile)
• Fax: (+48) 22 3810103 – office
• Languages: (fluent): English, Russian, German, (good): Italian, French, Spanish
• E-mail: kacprzyk@ibspan.waw.pl

Scientific identifiers

• ORCID: 0000-0003-4187-5877
• ResearcherID: M-9574-2014
• Scopus Author ID: 26643457100

Bibliometric summary:

• Google Scholar: citations: 36264; h-index: 81
• Scopus: citations: 12504; h-index: 47
• Web of Science: citations: 9226; h-index: 42.
• Listed in 2020, 2021, 2022 ”World’s 2% Top Scientists” by Stanford University, Elsevier (Scopus) and ScieTech Strategies, and published in PLOS Biology Journal: https://data.mendeley.com/datasets/btchxktzyw/2

Statistics of publications:

• Books: 8
• Edited volumes: ca. 175
• Papers in journals with IF (WoS): ca. 150
• Total number of publications: ca. 680

Plenary and invited talks (conferences/congresses, universities, meetings): more than 150

• M.S. in computer science and automatic control, 1970, Department of Electronics, Warsaw University of Technology, Warsaw, Poland.
• Ph.D. summa cum laude in systems analysis, 1977, Systems Research Institute, Polish Academy of Sciences in Warsaw, Poland
• D.Sc. (habilitation) in computer science, 1990, Systems Research Institute, Polish Academy of Sciences.
• Full Professor, 1997 awarded in 1997 by President of the Republic of Poland

Current

• Professor, Systems Research Institute, Polish Academy of Sciences (SRI PAS), Warsaw, Poland; since 1970.
• Professor, WIT – Warsaw School of Applied Information Technology and Management, Poland, since 1998.
• Professor, Industrial Research Institute of Automation and Measurements (PIAP), Warsaw, Poland, since 2007.
• Director, Center of Information Technologies, WIT and SRI PAS, since 2012.
• Honorary External Professor, Department of Mathematics, Yli Normal University, Xinjiang, China, since 2006.
• Full Professor, AI Center, AGH University of Science and Technology, Cracow, Poland, since 2021.

Past

• Hagan School of Business, Iona College, New Rochelle, NY, USA, 1981 – 83, visiting professor.
• Department of Computer Science, University of Tennessee, Knoxville, TN, USA, Spring, 1986; visiting professor.
• Department of Computer Science, University of North Carolina, Charlotte, NC, USA, Spring, 1988; visiting professor.
• Department of Management and Computer Sciences, University of Trento, Italy, Spring 1994; visiting professor.
• Department of Electrical and Computer Engineering, Cracow University of Technology, Cracow, Poland, 2010- 14, full professor.
• Department of Physics and Applied Computer Science, AGH University of Science and Technology, Cracow, Poland, 2014-15, full professor.
• Full professor, part-time, Chongqing Three Gorges University w Wangxi, P.R. of China, 2017-2021.

• Visiting Scientist, RIKEN Brain Research Institute, Wako, Tokyo, Japan, 2006-2016
• Visiting Professor, Department of Computer Science, Tijuana Institute of Technology, Tijuana, BC, Mexico, since 2006.
• Visiting Professor, School of Science and Technology, Nottigham Trent University, Nottigham, UK, 2003-2006.

• Full member, Polish Academy of Sciences, since 2010 (Member correspondent since 2002).
• Member, Academia Europaea (Informatics), since 2014.
• Member, European Academy of Sciences and Arts (Class VI – Technical Sciences), since 2015.
• Member, International Academy of Systems and Cybernetic Sciences (IASCYS), since 2020.
• Member, European Academy of Sciences, since 2020.
• Member, Academy of Engineering in Poland, since 2021.
• Foreign member, Spanish Royal Academy of Economic and Financial Sciences (RACEF), since 2007.
• Foreign member, Bulgarian Academy of Sciences, since 2013.
• Foreign member, The Finnish Society of Sciences and Letters (Societas Scientiarum Fennica), since 2017.
• Foreign member, Flemish Royal Academy of Belgium for Science and the Arts (KVAB), since 2019.
• Foreign member, National Academy of Sciences of Ukraine, since 2021.
• Foreign member, Lithuanian Academy of Sciences, since 2021.
• Foreign Member, Russian Academy of Sciences, since 2022.
• Foreign Member, Accademia Nazionale di Scienze, Lettere e Arti di Palermo, 2023.

Honorary professorships and honorary doctorates

• Honorary Professor, Department of Mathematics, Yli Normal University, Xinjiang, P.R. of China, since 2006.
• Honorary Doctorate (Dr. honoris causa), Széchenyi István University, Győr, Hungary, 2014.
• Honorary Doctorate (Dr. honoris causa), Óbuda University, Budapest, Hungary, 2016.
• Honorary Doctorate (Dr. honoris causa), Professor Asen Zlatarev University, Bourgas, Bulgaria, 2017.
• Honorary Doctorate (Dr. honoris causa), Lappeenranta University of Technology, Lappeenranta, Finland, 2017.
• Honorary Doctorate (Dr. honoris causa), Petro Mohyla Black Sea National University, Mykolaiv, Ukraine, 2020.
• Honorary Doctorate (Dr. honoris causa), Azerbaijan State Oil and Industry University, Baku, Azerbaijan, 2021.
• Honorary Doctorate (Dr. honoris causa), Częstochowa University of Technology, Częstochowa, Poland, 2022.
• Honorary Doctorate (Dr. honoris causa), Aurel Vlaicu Iniversity, Arad, Romania, 2022,

Honorary memberships

• Honorary Member, Polish Society for Measurement, Automatic Control and Robotics (POLSPAR), since 2014 Permanent Honorary Member, Mexican Association for Artificial Intelligence (SMIA), since 2015.
• Honorary Member, EUSFLAT (European Society of Fuzzy Logic and Technology, since 2016
• Honorary Member, Polish Information Processing Society (PTI), since 2019.

Fellowships titles

• Fellow, IEEE (Institute of Electrical and Electronics Engineers), since 2006.
• Fellow, IET (Institution for Engineering and Technology), since 2017.
• Fellow EurAI (ECCAI) -European Association for Artificial Intelligence, since 2014.
• Fellow, IFSA (International Fuzzy Systems Association), since 1997.
• Fellow, SMIA (Mexican Society for Artificial Intelligence), since 2015.
• Fellow, IFIP (International Federation for Information Processing), since 2020.
• Fellow, I2CCCI (International Institute of Cognitive Informatics and Cognitive Computing), since 2021.
• Fellow, Asia-Pacific Artificial Intelligence Association (AAIA), since 2021.
• Fellow, International Artificial Intelligence Industry Alliance (AIIA), since 2024.

Pioneer and similar awards

• Enrique Ruspini Award for Meritorious Service, Computational Intelligence Soxiety, IEEE, 2023
• Medal of the President of Taiwan (ROC) for scientific achievements, Taipei, 2019.
• The 2017 Award of HAFSA (Hispanic American Fuzzy Systems Association) for pioneering contributions to the areas of fuzzy logic and systems.
• The 2016 Award of the International Neural Network Society – Indian Chapter for Outstanding Contributions to Computational Intelligence
• Medal of ECSC (European Centre of Soft Computing) for contributiins to the etsblishment and activities of the European Centre of Soft Computing, Mieres, Spain, 2015
• Lifetime Achievement Award in Soft Computing, WAC (World Automation Congress), 2014.
• IFSA 2013 Award for outstanding academic contributions and life time achievement in the field of fuzzy systems, and a continuous support of IFSA, IFSA (International Fuzzy Systems Association), 2013.
• Distinguished Lecturer, IEEE CIS, 2010 – 2012.
• Medal of the Polish Neural Network Society for exceptional contributions to the advancement of computational intelligence in Poland, 2010.
• Pioneer Award for Outstanding Contributions to Granular Computing and Computing with Words by the Silicon Valley, California, IEEE Cmputational Intelligence Society Chapter, 2007.
• Pioneer Award, IEEE CIS (Institute of Electrical and Electronics Engineers, Computational Intelligence Society) for pioneering works on multistage fuzzy control, in particular fuzzy dynamic programming, 2005.
• 6-th Kaufmann Award and Gold Medal of pioneering works on the use of fuzzy logic in economics and management, 2006.
• AutoSoft Journal Lifetime Achievement Award in recognition of pioneering and outstanding contributions to the field of soft computing, 2000.
• Award of Scientific Secretary of the Polish Academy of Sciences for the book Janusz Kacprzyk, Fuzzy Sets in Systems Analysis (in Polish), PWN, Warsaw, 1987.
• Award of Department IV (Engineering Sciences) of the Polish Academy of Sciences for the book Janusz Kacprzyk, Multistage Decision Making under Fuzziness, Verlag TÜV Rheinland, Cologne, 1984.
• The 2016 Award of the International Neural Network Society – Indian Chapter for Outstanding Contributions to Computational Intelligence
• Medal of ECSC (European Centre of Soft Computing) for contributions to the establishment and activities of the European Centre of Soft Computing, Mieres, Spain, 2015
• Medal of the University of Liege, Belgium, 1981.

Functions in national and international organizations

• President, Polish Operational and Systems Research Society (PTBOiS), since 2007.
• Past President, International Fuzzy Systems Association (IFSA), 2009-2011.
• Vicepresident for Research, Polish Information Processing Society (PTI), 2018 – 2020.
• Member, IEEE CIS (Computational Intelligence Society) Administrative Committee – 2011 – 2016, since 2018.
• Member, IEEE SMCS (Systems, Man and Cybernetics Society) Boad of Givernors (BoG), since 2023.
• Chair, Award Committee, IEEE CIS (Computational Intelligence Society), 2016.
• Members of many IEEE Committees, since 2011.
• Member, PE6 (Computer Science and Informatics, Advanced Grants, European Research Council, since 2017.
• Chair, Fellows Committee, IFSA (International Fuzzy Systems Association), since 2017.

Administrative functions held:

At the national level

• Chairman of the Provosts’ Council, Department IV of Technical Sciences, Polish Academy of Sciences: Supervising and evaluating 13 research institutes and 21 national scientific committees, 2011-2014.
• Coordinator of MIR (Machine Intelligence Research) Labs Poland, since 2009.

At the institutional level

• Head of Intelligent Systems Laboratory, Systems Research Institute, Polish Academy of Sciences, since 1988.
• Deputy Director for Research, Systems Research Institute, Polish Academy of Sciences, 1998 – 2006.
• Head of Doctoral Studies, Systems Research Institute, Polish Academy of Sciences, 1992-1998.

Member of International Program Committees at conferences: more than 300

Member of International Editorial Boards of journals: more than 50

Editor in chief of journals: 2

Editor in chief of book series at Springer: 8

1. Studies in Fuzziness and Soft Computing, Springer, Heidelberg and New York.
2. Advances in Soft Computing, Springer, Heidelberg and New York.
3. Studies in Computational Intelligence, Springer, Heidelberg and New York.
4. Springer Series on Synergetics, Springer, Heidelberg and New York, Editor

1. Fuzzy Sets and Systems (Elsevier),
2. International Journal of Intelligent Systems (Wiley, New York, USA).
3.  Archives of Control Sciences (PWN, Warsaw) – deputy editor-in-chief.
4. Control and Cybernetics (SRI PAS, Warsaw).
5. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (World Scietific, Singapore).
6. Mathware & Soft Computing (Spain)
7. BUSEFAL – Bulletin pour les Sousensembles Flous et leur Applications (Universite Paul Sabatier, Toulouse, France).
8. Notes on IFS (Intuitionistic Fuzzy Sets) (Prof. Marin Drinov Academic Publishing, Sofia, Bulgaria).
9. Journal of Fuzzy Logic and Intelligent Systems (Korea Fuzzy Logic and Intelligent Systems Society).
10. International Journal of Knowledge-Based Intelligent Engineering Systems (Electronic Association of Australia) – coeditor-in-chief
11. Evolutionary Optimization (Internet).
12. Soft Computing (Springer-Verlag, Berlin).
13. Fuzzy Optimization and Decision Making (Kluwer, Boston).
14. Journal of Multiple-Valued Logic and Soft Computing (OCP Science, Philadelphia).
15. International Journal of Intelligent Systems and Information Processing (IJISIP) (IKS . International Intelligenct Knowledge Systems Society).
16.  Information Sciences (Elsevier, USA).
17. NIP . LR, Neural Information Processing . Letters and Reviews (ISBN 89-89453-04-6).
18. International Journal of Performability Engineering (RAMS Consultants).
19. IEEE Transactions on Fuzzy Systems . Associate Editor
20. International Journal of Computational Intelligence Research (Research India Publications), ISSN 0973-1873.
21. IRECOS . International Review on Computers and Software.
22. IC-MED . International Journal of Intelligent Computing in Medical Sciences and Image Processing . member of Advisory Board.
23. International Journal of Innovative Computing and Applications.
24. International Journal of Computational Science (IJCS), The Global Information Publisher.
25. Journal of Automation, Mobile Robotics and Intelligent Systems, PIAP, Editor in chief.

Books

1. J. Kacprzyk, Wieloetapowe podejmowanie decyzji w warunkach rozmytości, PWN, Warszawa-Łódź, 1983.
2. J. Kacprzyk, Multistage Decision Making under Fuzziness, Verlag TÜV Rheinland, Cologne, 1983.
3. J. Kacprzyk, Zbiory rozmyte w analizie systemowej, PWN, Warszawa, 1986.
4. J. Kacprzyk, Multistage Fuzzy Control: A Model-Based Approach to Control and Decision-Making, Wiley, Chichester, 1997.
5. J. Kacprzyk, Wieloetapowe sterowanie rozmyte, Wydawnictwa Naukowo – Techniczne (WNT), Warszawa, 2001.
6. A. Bozhenyuk, E. Gerasimenko, J. Kacprzyk, I. Rozenberg: Flows in Networks Under Fuzzy Conditions. Springer, Heidelberg and New York, 2017.
7. Kaur A. Kacprzyk J., Kumar A.: Fuzzy Transportation and Transshipment Problems. Springer, Cham, 2020.
8. J.W. Owsiński, J. Stańczak, K.R. Opara, S. Zadrożny, J. Kacprzyk: Reverse Clustering – Formulation, Interpretation and Case Studies. Springer, Cham, 2021.

Edited volumes

1. A. Straszak, J. Kacprzyk (Eds.), Cybernetics Methods in Management (in Polish), IOK PAN and MNszWiT, Warsaw, 1973.
2. J. Kacprzyk, R.R. Yager (Eds.), Management Decision Support Systems Using Fuzzy Sets and Possibility Theory, Verlag TÜV Rheinland, Cologne, 1985.
3. J. Kacprzyk (Ed.), Proceedings of Seminar on Non-conventional Problems of Optimization, Parts I – IV, Prace IBS PAN, Warsaw, 1986.
4. J. Kacprzyk, S.A. Orlovski (Eds.), Optimization Models Using Fuzzy Sets and Possibility Theory, D. Reidel, Dordrecht/Boston/London, 1987.
5. J. Kacprzyk, M. Roubens (Eds.), Non-conventional Preference Relations in Decision Making, Springer – Verlag, Berlin and New York, 1988.
6. J. Kacprzyk, M. Fedrizzi (Eds.), Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making,Making Springer-Verlag, Berlin/New York, 1988.
7. J. Kacprzyk, A. Straszak (Eds.), Proceedings of First Joint IFSA-EC and EURO-WG Workshop on Progress in Fuzzy Sets in Europe (Warsaw, Poland, November, 1996), Prace IBS PAN, Vol. 167, Warsaw, 1988.
8. J. Kacprzyk, M. Fedrizzi (eds.), Multiperson Decision Making Problems Using Fuzzy Sets and Possibility Theory, Kluwer, Dordrecht/Boston/London, 1990.
9. R. Kulikowski, J. Kacprzyk (Eds.), Systems Research, Vol. 3 (in Polish), Omnitech Press, Warsaw, 1990.
10. M. Fedrizzi, J. Kacprzyk, M. Roubens (Eds.), Interactive Fuzzy Optimization, Springer – Verlag, Berlin/New York, 1991.
11. L.A. Zadeh, J. Kacprzyk (Eds.), Fuzzy Logic for the Management of Uncertainty, Wiley, New York, 1992
12. J. Kacprzyk and M. Fedrizzi (Eds.), Fuzzy Regression Analysis, Omnitech Press, Warsaw and Physica-Verlag, Heidelberg (A Springer-Verlag Company), 1992.
13. R.R. Yager, J. Kacprzyk, M. Fedrizzi (Eds.), Advances in the Dempster-Shafer Theory of Evidence, Wiley, New York, 1994.
14. M. Delgado, J. Kacprzyk, J.L. Verdegay, M.A. Vila (Eds.), Fuzzy Optimization: Recent Advances, Physica-Verlag, Heidelberg (A Springer-Verlag Company), 1994.
15. R. Kulikowski, K. Szkatuła, J. Kacprzyk (Eds.), Proceedings of the 9th Polish-Italian and 5th Polish-Finnish Symposium on Systems Analysis and Decision Support in Economics and Technology, Omnitech Press, Warsaw, 1994.
16. T. Onisawa, J. Kacprzyk (Eds.), Reliability and Safety Analyses under Fuzziness, Physica-Verlag, Heidelberg (A Springer-Verlag Company), 1995.
17. P. Bosc, J. Kacprzyk (Eds.), Fuzziness in Database Management Systems, Physica-Verlag, Heidelberg (A Springer-Verlag Company), 1995.
18. J. Kacprzyk, H. Nurmi, M. Fedrizzi (Eds.), Consensus under Fuzziness, Kluwer, Boston, 1996.
19. R.R. Yager, J. Kacprzyk (Eds.), The Ordered Weighted Averaging Operators: Theory and Applications, Kluwer, Boston, 1997.
20. L. Reznik, V. Dimitrov, J. Kacprzyk (Eds.), Fuzzy Systems Design, Physica-Verlag (Springer-Verlag), Heidelberg and New York, 1998.
21. R.A. Ribeiro, H.-J. Zimmermann, R.R. Yager, J. Kacprzyk (Eds.), Soft Computing in Financial Engineering, Physica-Verlag (Springer-Verlag), Heidelberg and New York, 1999.
22. L.A. Zadeh, J. Kacprzyk (Eds.), Computing with Words in Information/Intelligent Systems. Part Foundations, Physica-Verlag (Springer – Verlag), Heidelberg and New York, 1999.
23. L.A. Zadeh, J. Kacprzyk (Eds.), Computing with Words in Information/Intelligent Systems. Part Applications, Physica-Verlag (Springer – Verlag), Heidelberg and New York, 1999.
24. M.A. Vila, O. Pons, J. Kacprzyk (Eds.), Knowledge Management in Fuzzy Databases, Physica-Verlag (Springer – Verlag), Heidelberg and New York, 2000.
25. P. Szczepaniak, P. Lisboa, J. Kacprzyk (Eds.), Fuzzy Systems in Medicine, Physica-Verlag (Springer – Verlag), Heidelberg and New York, 2000.
26. J. Studziński, O. Hryniewicz, J. Kacprzyk, L. Drelichowski (Eds.), Information Technologies in Management. Decision Support Systems (in Polish). IBS PAN, Warsaw, 2000.
27. H. Larsen, J. Kacprzyk, S. Zadrożny, T. Andreasen, H. Christiansen (Eds.), Flexible Query Answering Systems: Recent Advances, Physica-Verlag (Springer-Verlag), Heidelberg and New York, 2001.
28. D. Ruan, J. Kacprzyk, M. Fedrizzi (Eds.), Soft Computing for Risk Evaluation and Management, Physica – Verlag (Springer-Verlag), Heidelberg and New York, 2001.
29. L.C. Jain, J. Kacprzyk (Eds.), New Learning Paradigmes in Soft Computing, Physica-Verlag (Springer- Verlag), Heidelberg and New York, 2001.
30. J. Kacprzyk, J. Węglarz (Eds.): Operational and Systems Research against Challenges of the XXI Century. Modelling and Optimization. Methods and Applications (in Polish). Akademicka Oficyna Wydawnicza EXIT, Warsaw, 2002.
31. J. Kacprzyk, D. Wagner (Eds.): Group Decisions and Voting. Akademicka Oficyna Wydawnicza EXIT, Warsaw, 2003.
32. L. Rutkowski, J. Kacprzyk (Eds.): Neural Networks and Soft Computing. Springer-Verlag, Heidelberg New York, 2003.
33. X. Yu, J. Kacprzyk (Eds.): Applied Decision Support with Soft Computing. Springer Verlag, Berlin, 2003.
34. A. Abraham, L.C. Jain, J. Kacprzyk (Eds.): Recent Advances in Intelligent Paraddigms and Applications, Springer Verlag, Heidelberg and New York, 2003.
35. P. Szczepaniak, S. Segovia, J. Kacprzyk, L.A. Zadeh (Eds.): Intelligent Exploration of the Web. Physica-Verlag, Heidelberg and New York, 2003.
36. I. Batyrshin, J. Kacprzyk, L. Sheremetov (Eds.): Proceedings of the International Conference on Fuzzy Sets and Soft Computing in Economics and Finance (FSSCEF 2004, St. Peterburg, Russia, 2004), Vols. 1 and 2, Instituto Mexicano del Petrolio, Mexico, Russian Fuzzy Systems Association, Moscow, 2004.
37. K.T. Atanassov K., O. Hryniewicz, J. Kacprzyk J. (Eds.): Soft computing. Foundations and Theoretical Aspects. Akademicka Oficyna Wydawnicza EXIT, Warsaw, 2004.
38. K.T. Atanassov, J. Kacprzyk, M. Krawczak (Eds.): Issues in Intuitionistic Fuzzy Sets and Generalized Nets. Volume WIT – Warsaw School of Information Technology (Wyższa Szkoła Informatyki Stosowanej i Zarządzania), Warsaw, 2004.
39. K.T. Atanassov, J. Kacprzyk, M. Krawczak M. (Eds.): Issues in Intuitionistic Fuzzy Sets and Generalized Nets . Volume . WIT – Warsaw School of Information Technology (Wyższa Szkoła Informatyki Stosowanej i Zarządzania), Warsaw, 2004.
40. B. De Baets B., R. De Caluwe, G. De Tré, J. Fodor, J. Kacprzyk, S. Zadrożny S. (Eds.): Current Issues in Data and Knowledge Engineering. Akademicka Oficyna Wydawnicza EXIT, Warsawa, 2004.
41. R. Kulikowski, J. Kacprzyk and R. Słowiński R. (Eds.): Operations and Systems Research Decision Making – Methodological Foundations and Applications (in Polish). Akademicka Oficyna Wydawnicza EXIT, Warsaw, 2004.
42. K.T. Atanassov K., Hryniewicz O., Kacprzyk J. (Eds.): Soft Computing. Foundations and Theoretical aspects. Akademicka Oficyna Wydawnicza EXIT, Warsaw, 2004.
43. J. Kacprzyk J., Z. Nahorski, D. Wagner (Eds.): Applications of Systems Research in Economics, Science and Technology (in Polish). Akademicka Oficyna Wydawnicza EXIT, Warsaw, 2005.
44. M. Nikravesh L.A. Zadeh, J. Kacprzyk (Eds.): Soft Computing for Information Processing and Analysis. Springer Verlag, Heidelberg and New York, 2005.
45. W. Duch, Kacprzyk J., Oja E., Zadrożny S. (Eds.): Artificial Neural Networks: Biological Inspirations – ICANN Springer Verlag, Berlin, Heidelberg, New York, LNCS, 2005.
46. W. Duch W., Kacprzyk J., Oja E., Zadrożny S. (Eds.): Artificial Neural Networks: Formal Models and Their Applications – ICANN Springer Verlag, Berlin, Heidelberg, New York, LNCS 3697, 2005.
47. O. Hryniewicz O., Kacprzyk J., Koronacki J., Wierzchoń S. (Eds.): Issues in Intelligent Systems. Paradigms. Akademicka Oficyna Wydawnicza EXIT, Warsaw, 2005.
48. O. Hryniewicz O., Kacprzyk J., Kuchta D. (Eds.): Issues in Soft Copmputing. Decisions and Operations Research. Akademicka Oficyna Wydawnicza EXIT, Warsaw, 2005.
49. J. Kacprzyk, Krawczak M., Atanassov K. (Eds.): Issues in Intuitionistic Fuzzy Sets and Generalized Nets. Vol. WIT – Wyższa Szkoła Informatyki Stosowanej i Zarządzania, Warsaw, 2005.
50. J. Kacprzyk, Krawczak M., Szmidt E., Atanassov K. (Eds.): Issues in the Representation and Processing of Uncertain and Imprecise Information. Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets, and Related Topics. EXIT, Warsaw, 2005.
51. P. Szczepaniak P., Kacprzyk J., Niewiadomski A. (Eds.): Advances in Web Intelligence. Springer Verlag, Berlin Heidelberg, LNAI 3528, 2005.
52. K.T. Atanassov, J. Kacprzyk, M. Krawczak, E. Szmidt E. (Eds.): Issues in Intuitionistic Fuzzy Sets and Generalized Nets . Vol. WIT – Wyższa Szkoła Informatyki Stosowanej i Zarządzania, Warsaw 2006.
53. J. Kacprzyk, R. Budziński (Eds.): Badania Operacyjne i Systemowe Metody i Techniki. Akademicka Oficyna Wydawnicza EXIT, Warsaw 2006.
54. R. Kulikowski, Z. Bubnicki, J. Kacprzyk (Eds.): Systemowo-Komputerowe Wspomaganie Zarządzania Wiedzą. Akademicka Oficyna Wydawnicza EXIT, 2006.
55. Castillo O., Melin P., Kacprzyk J., Pedrycz W. (Eds.): Hybrid intelligent systems – Analysis and Design. Springer Verlag, Heidelberg and New York, 2007.
56. P. Melin, O. Castillo, L.T. Aguilar, J. Kacprzyk, W. Pedrycz (Eds.): Foundations of Fuzzy Logic and Soft Computing, Springer Verlag, Heidelberg and New York, LNCS 4529, 2007.
57. P. Melin, O. Castillo, E.G. Ramirez, J. Kacprzyk, W. Pedrycz (Eds.): Analysis and Design of Intelligent Systems Using Soft Computing Techniques. Springer Verlag, Heidelberg and New York, 2007.
58. I. Batyrshin, J. Kacprzyk, L. Szeremetov, L.A. Zadeh (Eds.): Perception-based Data Mining and Decision Making in Economics and Finance. Springer – Verlag, Heidelberg and New York, 2007.
59. M. Nikravesh, J. Kacprzyk, L.A. Zadeh (Eds.) Forging New Frontiers: Fuzzy Pioneers I. Springer Verlag, Heidelberg and New York, 2007.
60. O. Castillo, P. Melin, O. Ross, R. Sepulveda Cruz, W. Pedrycz, J. Kacprzyk (Eds.): Theoretical advances and applications of fuzzy logic and soft computing. Springer – Verlag, Heidelberg and New York, 2007.
61. J. Kacprzyk (Ed.): Studies&Proceedings. Polish Association for Knowledge Management. No. Polish Assopciation for Knowledge Management, Bydgoszcz, 2007.
62. J. Kacprzyk (Ed.): Studies & Proceedings. Polish Association for Knowledge Management, No. 11, Bydgoszcz, 2007.
63. P. Kulczyki, O. Hryniewicz, J. Kacprzyk (Eds.): Information Technology in Systems Research. WNT, Warsaw, 2007.
64. L. Mourelle N. Nedjah, J. Kacprzyk, M. Adamska (Eds.): Pro. of Seventh International Conference on Intelligent Systems Design and Applications ISDA’ IEEE CS Press, Los Alamitos, California, USA, 2007.
65. M. Nikravesh, J. Kacprzyk, L.A. Zadeh (Eds.) Forging New Frontiers: Fuzzy Pioneers II. Springer Verlag, Heidelberg and New York, 2008.
66. R. Bello R., R. Falcon, W. Pedrycz, J. Kacprzyk (Eds): Granular Computing: at the Junction of Rough Sets and Fuzzy Sets. Springer Verlag, Heidelberg and New York, 2008.
67. A. Hassanien, A. Abraham, J. Kacprzyk (Eds.): Computational Intelligence in Multimedia Processing: Recent Advances. Springer Verlag, Heidelberg and New York, 2008.
68. P. Melin, O. Castillo, E. Ramirez, J. Kacprzyk, W. Pedrycz (Eds.): Analysis and Design of Intelligent Systems Using Soft Computing Techniques. Springer Verlag, Heidelberg and New York, 2008.
69. P. Chountas, I. Petrounias, J. Kacprzyk (Eds.): Intelligent Techniques and Tools for Novel System Architecture. Springer – Verlag, Heidelberg 2008.
70. Zadeh L., Kacprzyk J., Kazovsky L., Borne P., Mastorakis N., Kuri-Morales A., Sakellaris I. (Eds.): Advances in Artificial Intelligence, Knowldge Engineering and Data Bases. WSEAS Press, Athens 2008.
71. Atanassov K., Kacprzyk J., Krawczak M., Szmidt E. (Red.): Issues in Intuitionistic Fuzzy Sets and Generalized Nets. WIT, Warsaw 2008.
72. Atanassov K., Hryniewicz O., Kacprzyk J., Krawczak M., Nahorski Z., Szmidt E., Zadrożny S. (Eds.): Advances in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Volume I: Foundations. EXIT, Warsaw 2008.
73. Atanassov K., Hryniewicz O., Kacprzyk J., Krawczak M., Nahorski Z., Szmidt E., Zadrożny S. (Eds.): Advances in Fuzzy sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Volume II: Applications. EXIT, Warsaw 2008.
74. Fodor J., Kacprzyk J. (Eds.): Aspects of Soft Computing, Intelligent Robotics and Control. Springer Verlag, Heidelberg 2009.
75. Nedjah N., Mourelle L., Kacprzyk J. (Eds.): Innovative Applications in Data Mining. Springer Verlag, Heidelberg 2009.
76. Nedjah N., Mourelle L., Kacprzyk J., Franca F., De Souza A. (Eds.): Intelligent Text Categorization and Clustering. Springer Verlag, Berlin – Heidelberg 2009.
77. Rudas I., Fodor J., Kacprzyk J. (Eds.): Towards Intelligent Engineering and Information Technology. Springer Verlag, Heidelberg 2009.
78. Rutkowska,D., Kacprzyk J., Cader A, Przybyszewski K. (Eds.): Some New Ideas and Research Results in Computer Science. EXIT, Warsaw, 2010.
79. Greco S.; Marques Pereira R.A.; Squillante M.; Yager R.R.; Kacprzyk J. (Eds.): Preferences and Decisions: Models and Applications. Springer, Heidelberg 2010.
80. Lodwick W.A., Kacprzyk J. (Eds.): Fuzzy Optimization: Recent Advances and Applications. Spronger, Heidelberg 2010.
81. Castillo O., Kacprzyk J., Pedrycz W. (Eds.) Soft Computing for Intelligent Control and Mobile Robotics. Springer, Heidelberg, 2010.
82. Melin P., Kacprzyk J., Pedrycz W. (Eds.): Soft Computing for Recognition based on Biometrics. Springer, Heidelberg, 2010.
83. Sgurev V., Hadjiski M., Kacprzyk J. (Eds): Intelligent Systems: From Theory to Practice. Spronger, Heidelberg, 2010.
84. Kacprzyk J., Petry F.E., Yazici A. (Eds.): Uncertainty Approaches for Spatial Data Modeling and Processing, Springer, Heidelberg, 2010.
85. Koronacki J.; Raś Z.W., Wierzchoń S.T., Kacprzyk J. (Eds.)Advances in Machine Learning I: Dedicated to the memory of Professor Ryszard S. Michalski . Springer, Heidelberg, 2010.
86. Koronacki J.; Raś Z.W., Wierzchoń S.T., Kacprzyk J. (Eds.)Advances in Machine Learning I: Dedicated to the memory of Professor Ryszard S. Michalski . Springer, Heidelberg, 2010.
87. Castillo O., Pedrycz W., Kacprzyk J. (Eds.) Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control. Springer, Heidelberg, 2010.
88. Melin P., Kacprzyk J., Pedrycz W. (Eds.) Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition. Springer, Heidelberg, Springer, Heidelberg 2010.
89. Atanassov K., Baczyński M., Drewniak J., Kacprzyk J., Krawczak M., Szmidt E., Wygralak M., Zadrożny S. (Eds.): Recent Advances in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Volume I: Foundations. Instytut Badan Systemowych PAN, Warszawa 2011, 224 s.
90. Atanassov K., Homenda W., Hryniewicz O., Kacprzyk J., Krawczak M., Nahorski Z., Szmidt E., Zadrożny S. (Eds.): Recent Advances in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Vol II: Applications. Systems Research Institute, Polish Academy of Sciences, Warszawa 2011, 245 s.
91. Atanassov K., Kacprzyk J., Krawczak M., Szmidt E. (Eds.): Issues in intuitionistic fuzzy sets and generalized nets, Volume Wyższa Szkoła Informatyki Stosowanej i Zarządzania, Warszawa 2011, 128 s.
92. Castillo O., Pedrycz W., Kacprzyk J. (Eds.): Soft Computing for Intelligent Control and Mobile Robotics. Springer Verlag, Heidelberg 2011, 499 s., 300 poz. bibl. Seria: Studies in Computational Intelligence.
93. Christiansen H., De Tre G., Yazici A., Zadrożny S., Andreasen T., Larsen H. (Eds.): Flexible Query Answering Systems. Springer Verlag, 2011, 510 s. Seria: Lecture Notes in Computer Science.
94. Herrera-Viedma E., Garcia-Lapresta J., Kacprzyk J., Fedrizzi M., Nurmi H., Zadrożny S. (Eds.): Consensual Processes. Springer Verlag, Heidelberg 2011, 430 s., 300 poz. bibl. Seria: Studies in Fuzziness and Soft Computing.
95. Kacprzyk J., Nuno P., Felipe J. (Eds.): SIMULTECH 2011 – Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications. SciTePress, Setubal, Portugalia 2011.
96. Lin W., Tao D., Kacprzyk J., Izquierdo E., Wang H. (Eds.): Multimedia Analysis, Processing and Communications. Springer Verlag, Heidelberg 2011.
97. Melin P., Kacprzyk J., Pedrycz W. (Eds.): Soft Computing for recognition based on Biometrics. Springer Verlag, Heidelberg 2011.
98. Rudas I., Fodor J., Kacprzyk J. (Eds.): Computational Intelligence and Informatics: Principles and Practice. Springer Verlag, Heidelberg 2011.
99. Unger H., Kyamakya K., Kacprzyk J. (Eds.): Autonomous Systems: Developments and Trends. Springer Verlag, Heidelberg and New York 2011.
100. Yager R., Kacprzyk J., Beliakov G. (Eds.): Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice. Springer Verlag, Heidelberg 2011.
101. Zamojski W., Kacprzyk J., Mazurkiewicz J., Sugier J., Walkowiak T. (Eds.): Dependable Computer Systems. Springer Verlag, Heidelberg 2011.
102. Kacprzyk J. (Ed.): Innowacyjne rozwiązania w obszarze automatyki, robotyki I pomiarów, Oficyna Wydawnicza PIAP, Warszawa 2011.
103. Atanassov K., Baczyński M., Drewniak J., Kacprzyk J., Krawczak M., Szmidt E., Wygralak M., Zadrożny S. (Eds.): New Developments in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Volume I: Foundations. Systems Research Institute Polish Academy of Sciences, Warszawa 2012.
104. Atanassov K., Homenda W., Hryniewicz O., Kacprzyk J., Krawczak M., Nahorski Z., Szmidt E., Zadrożny S. (Eds.): New developments in fuzzy sets, intuitionistic fuzzy sets, generalized nets and related topics. Vol II: Applications. Systems Research Institute, Polish Academy of Sciences, Warszawa 2012.
105. Kacprzyk J. (Red.): Innowacyjne rozwiązania w obszarze automatyki, robotyki i pomiarów. PIAP – Przemysłowy Instytut Automatyki i Pomiarów, Warszawa 2012.
106. Kyamakya K., Unger H., Kacprzyk J. (Eds.): Autonomous systems: developments and trends. Springer-Verlag, Heidelberg and New York 2012.
107. Trillas E., Bonissone P., Magdalena L., Kacprzyk J. (Eds.): Combining experimentation and theory. Springer-Verlag, Heidelberg and New York 2012.
108. Zamojski W., Mazurkiewicz J., Sugier J., Walkowiak T., Kacprzyk J. (Eds.): Complex systems and dependebility. Springer-Verlag, Heidelberg and New York 2012.
109. Atanassov K., Baczyński M., Drewniak J., Kacprzyk J., Krawczak M., Szmidt E., Wygralak M., Zadrożny S. (Eds.): New trends in fuzzy sets, intuitionistic fuzzy sets, generalized nets and related topics. Vol. I: foundations. Instytut Badań Systemowych PAN, Warszawa 2013.
110. Atanassov K., Homenda W., Hryniewicz O., Kacprzyk J., Krawczak M., Nahorski Z., Szmidt E., Zadrożny S. (Eds.): New trends in fuzzy sets, intuitionistic fuzzy sets, generalized nets and related topics. Vol. II: applications. Instytut Badań Systemowych PAN, Warszawa 2013.
111. Atanassov K., Kacprzyk J., Krawczak M., Szmidt E. (Eds.): Issues in intuitionistic fuzzy sets and generalized nets. Wyższa Szkoła Informatyki Stosowanej i Zarządzania, Warszawa 2013.
112. Castillo O., Melin P., Kacprzyk J. (Eds.): Recent advances on hybrid intelligent systems. Springer-Verlag, Berlin, Heidelberg 2013.
113. Czarnowski I., Jędrzejowicz P., Kacprzyk J. (Eds.): Agent-based optimization. Springer-Verlag, Berlin 2013.
114. Nuno P., Kacprzyk J., Felipe J. (Eds.): Simulation and modelling methodologies, technologies and applications (SIMULTECH 2011). Springer-Verlag, Berlin 2013.
115. Pina N., Kacprzyk J., Filipe J. (Eds.): Simulation and modeling methodologies, technologies and applications (SIMULTECH 2011). Springer-Verlag, Berlin, Heidelberg 2013.
116. Atanassov K., Baczyński M., Drewniak J., Kacprzyk J., Krawczak M., Szmidt E., Wygralak M., Zadrożny S. (Eds.): Modern Approaches in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Vol. I: Foundationpp. Instytut Badan Systemowych IBS PAN, 2014.
117. Atanassov K., Homenda W., Hryniewicz O., Kacprzyk J., Krawczak M., Nahorski Z., Szmidt E., Zadrożny S. (Eds.): Modern Approaches in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Vol. II: Applications. IBS PAN, Warszawa 2014.
118. Castillo O., Melin P., Pedrycz W., Kacprzyk J. (Eds.): Recent advances on Hybrid approaches for designing intelligent systems. Springer-Verlag, Heidelberg 2014.
119. Koczy L.T., Pozna C., Kacprzyk J. (Eds.): Issues and challenges of intelligent systems and computational intelligence. Springer-Verlag, Berlin Heidelberg 2014.
120. Obaidat M., Filipe J., Kacprzyk J., Pina N. (Eds.): Simulation and modeling methodologies, technologies and applications – International Conference SIMULTECH Springer-Verlag, Heidelberg 2014.
121. Angelov P., Atanassov K., Doukovska L., Hadjiski M., Jotsov V., Kacprzyk J., Kasabov N., Sotirov S., Szmidt E., Zadrożny S. (Eds.): Intelligent Systems’2014, Vol.1; Mathematical Foundations, Theory, Analyses. Springer-Verlag, Heidelberg 2015.
122. Filev D., Jablkowski J., Kacprzyk J., Krawczak M., Popchev I., Rutkowski L., Sgurev V., Sotirova E., Szynkarczyk P., Zadrożny S. (Eds.): Intelligent Systems ‘2014 Volume 2: Tools, Architectures, Systems, Applications. Springer-Verlag, Heidelberg 2015.
123. Collan M., Fedrizzi M., Kacprzyk J. (Eds.): Fuzzy technology: present applications and future challenges. Springer-Verlag, Heidelberg and New York 2015.
124. Atanassov K., Kacprzyk J., Krawczak M., Szmidt E. (Eds.): Issues in Intuitionistic Fuzzy Sets and Generalized Nets,Volume Instytut Badań Systemowych PAN, Warszawa 2014.
125. Hassanien A., Taher Azar A., Snasel V., Kacprzyk J., Abawajy J. (Eds.): Big data in complex systems – challenges and opportunities. Springer-Verlag, Heidelberg and New York 2015.
126. Kacprzyk J. (Red.): Innowacyjne rozwiązania w obszarze automatyki, robotyki i pomiarów. Przemysłowy Instytut Automatyki i Pomiarów PIAP, Warszawa 2015.
127. Kacprzyk J., Pedrycz W. (Eds.): Handbook of Computational Intelligence. Springer-Verlag, Heidelberg and New York 2015.
128. Madani K., Dorado A., Rosa A., Filipe J., Kacprzyk J. (Eds.): Computational intelligence. Springer-Verlag, Heidelberg and New York 2015.
129. Melin P., Castillo O., Kacprzyk J. (Eds.): Design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization. Springer-Verlag, Heidelberg and New York 2015.
130. Obaidat M., Kacprzyk J., Oren T., Felipe J. (Eds.): Simulation and modeling methodologies, technologies and applications. International Conference SIMULTECH 2014 Vienna, Austria, August 28-30, 2014 Revised Selected Papers. Springer, Heidelberg and New York 2015.
131. Obaidat M., Koziel S., Kacprzyk J., Leifsson L., Oren T. (Eds.): Simulation and modeling methodologies, technologies and applications. Springer-Verlag, Heidelberg and New York 2015.
132. Seising R., Trillas E., Kacprzyk J. (Eds.): Towards the future of fuzzy logic. Springer-Verlag, Heidelberg and New York 2015.
133. Zamojski W., Mazurkiewicz J., Sugier J., Walkowiak T., Kacprzyk J. (Eds.): Theory and Engineering of Complex Systems and Dependability Proceedings of the Tenth International Conference on Dependability and Complex Systems DepCoS-RELCOMEX, June 29 – July 3 2015, Brunów, Poland. Springer, Heidelberg and New York 2015.
134. De Tre G., Grzegorzewski P., Kacprzyk J., Owsiński J., Penczek W., Zadrożny S. (Eds.): Challenging Problems and Solutions in Intelligent Systems. Springer, 2016.
135. Kobayashi S., Piegat A., Pejaś J., El Fray I., Kacprzyk J. (Eds.): Hard and Soft Computing for Artificial Intelligence, Multimedia and Security. Springer, Heidelberg and New York 2017.
136. Kunifuji S., Papadopoulos G., Skulimowski A., Kacprzyk J. (Eds.): Knowledge, Information and Creativity Support Systems – Selected Papers from KICSS’2014 – 9th International Conference, Limassol, Cyprus, on November 6-8, Springer, Heidelberg 2016.
137. Madani K., Rosa A., Felipe J., Kacprzyk J. (Eds.): Computational Intelligence. Springer, Heidelberg and New York 2016.
138. Obaidat M., Kacprzyk J., Oren T., Filipe J. (Eds.): Simulation and Modeling Methodologies, Technologies and Applications. Springer, Heidelberg and New York 2016.
139. Sgurev V., Yager R., Kacprzyk J., Jotsov V. (Eds.): Innovative Issues in Intelligent Systems. Springer, Heidelberg and New York 2016.
140. Skulimowski A., Kacprzyk J. (Eds.): Knowledge, Information and Creativity Support Systems: Recent Trends, Advances and Solutions – Selected Papers from KICSS’2013 – 8th International Conference on Knowledge, Information, and Creativity Support Systems. Springer, Heidelberg 2016.
141. Zamojski W., Mazurkiewicz J., Sugier J., Walkowiak T., Kacprzyk J. (Eds.): Dependability Engineering and Complex Systems – Proceedings of the Eleventh International Conference on Dependability and Complex Systems DepCoS-RELCOMEX. June 27-July 1, 2016, Brunów, Poland. Springer, Heidelberg 2016.
142. Andreasen T., Christiansen H., Kacprzyk J., Larsen H., Pasi G., Pivert O., De Tre G., Vila M., Yazici A., Zadrożny S. (Eds.): Flexible Query Answering Systems Proceedings of the 11th International Conference FQAS 2015, Cracow, Poland, October 26-28, Springer, Heidelberg and New York 2016.
143. Atanassov K., Castillo O., Kacprzyk J., Krawczak M., Melin P., Sotirov S., Sotirova E., Szmidt E., De Tre G., Zadrożny S. (Eds.): Novel Developments in Uncertainty Representation and Processing. Advances in Intuitionistic Fuzzy Sets and Generalized Nets – Proceedings of 14th International Conference on Intuitionistic Fuzzy Sets and Generalized Nets. Springer, Heidelberg and New York
144. Hošková-Mayerová, Šárka, Maturo, Fabrizio, Kacprzyk, Janusz (Eds.) Mathematical-Statistical Models and Qualitative Theories for Economic and Social Sciences, Springer, 2017.
145. Maturo, A., Hošková-Mayerová, Š., Soitu, D.-T., Kacprzyk, J. (Eds.): Recent Trends in Social Systems: Quantitative Theories and Quantitative Models. Springer, 2017.
146. Melin, Patricia, Castillo, Oscar, Kacprzyk, Janusz (Eds.) Nature-Inspired Design of Hybrid Intelligent Systems. Springer, 2017.
147. Kacprzyk, Janusz, Filev, Dimitar, Beliakov, Gleb (Eds.): Granular, Soft and Fuzzy Approaches for Intelligent Systems: Dedicated to Professor Ronald R. Yager, Springer, 2017.
148. Mitkowski, W., Kacprzyk, J., Oprzędkiewicz, K., Skruch, P. (Eds.): Trends in Advanced Intelligent Control, Optimization and Automation – Proceedings of KKA 2017—The 19th Polish Control Conference, Kraków, Poland, June 18–21, 2017, Springer, 2017.
149. Kulczycki, P., Kóczy, L.T., Mesiar, R., Kacprzyk, J. (Eds.): Information Technology and Computational Physics, Springer, 2017.
150. Kharchenko, Vyacheslav, Kondratenko, Yuriy, Kacprzyk, Janusz (Eds.): Green IT Engineering: Components, Networks and Systems Implementation. Springer, 2017.
151. Kharchenko, Vyacheslav, Kondratenko, Yuriy, Kacprzyk, Janusz (Eds.): Green IT Engineering: Concepts, Models, Complex Systems Architectures. Springer, 2017.
152. Kobayashi, S.-y., Piegat, A., Pejaś, J., El Fray, I., Kacprzyk, J. (Eds.): Hard and Soft Computing for Artificial Intelligence, Multimedia and Security. Springer, 2017.
153. Ella Hassanien, A., Mostafa Fouad, M., Manaf, A.A., Zamani, M., Ahmad, R., Kacprzyk, J. (Eds.): Multimedia Forensics and Security – Foundations, Innovations, and Applications. Springer, 2017.
154. Sgurev, V., Yager, R.R., Kacprzyk, J., Atanassov, K.T. (Eds.): Recent Contributions in Intelligent Systems. Springer, 2017.
155. Kacprzyk, J., Szmidt, E., Zadrożny, S, Atanassov, K. T., Krawczak, M. (Eds): Advances in Fuzzy Logic and Technology 2017 col. 1, vol. 2, vol. 3, Springer, 2018
156. Kondratenko Y.P., Chikrii A.A., Gubarev V.F., Janusz Kacprzyk (Editors) Advanced Control Techniques in Complex Engineering Systems: Theory and Applications. Dedicated to Professor Vsevolod M. Kuntsevich, Springer, 2019
157. Wisniewski R., Mesiar R., Kóczy L.T., Kacprzyk J., Kulczycki P. (Eds.) Information Technology, Systems Research, and Computational Physics, Springer, 2019.
158. Pejaś J., El Fray I., Hyla T., Kacprzyk J. (Eds.) Advances in Soft and Hard Computing, Proceedings of the International Conference on Advanced Computer Systems, ACS 2018, Miȩdzyzdroje, Poland, 24-26 September 2018, Springer 2019.
159. Zamojski W., Mazurkiewicz J., Sugier J., Walkowiak T., Kacprzyk J. (Eds.) Contemporary Complex Systems and Their Dependability – Proceedings of the 13th International Conference on Dependability and Complex Systems DepCoS-RELCOMEX, July 2-6, 2018, Brunów, Poland. Advances in Intelligent Systems and Computing vol. 761, Springer 2019.
160. Grzegorzewski P., Kochanski A., Kacprzyk J. (Eds.) Soft Modeling in Industrial Manufacturing, Springer 2019.
161. Kharchenko V., Kondratenko Y., Kacprzyk J. (Eds.) Green IT Engineering: Social, Business and Industrial Applications, Springer 2019.
162. Krassimir Atanassov, Janusz Kacprzyk, Maciej Krawczak, Eulalia Szmidt (eds.) – Issues in Intuitionistic Fuzzy Sets and Generalized Nets. Vol. 14, Warsaw School of Information Technology, Warszawa 2018/2019, 
163. Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Sadikoglu, F.M. (Eds) 13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018, Springer, 2019. Dzemyda, Gintautas, Bernatavičeiené, Jolita, Kacprzyk, Janusz (Eds.), Data Science: New Issues, Challenges and Applications, Springer, 2020.
164. Andrzej Bartoszewicz, Jacek Kabzinski, Janusz Kacprzyk (Eds.), Advanced, Contemporary Control – Proceedings of KKA 2020 – The 20th Polish Control Conference, Lódź, Poland, Springer, 2020.
165. Shahnaz N Shahbazova, Michio Sugeno, Janusz Kacprzyk (Eds.), Recent Developments in Fuzzy Logic and Fuzzy Sets: Dedicated to Lotfi A. Zadeh, Springer, 2020.
166. Shahbazova, Shahnaz, Kacprzyk, Janusz, Balas, Valentina Emilia, Kreinovich, Vladik (Eds.), Recent Developments and the New Direction in Soft-Computing Foundations and Applications: Selected Papers from the 7th World Conference on Soft Computing, May 29–31, 2018, Baku, Azerbaijan, Springer, 2020.
167. Wojciech Zamojski, Jacek Mazurkiewicz, Jaroslaw Sugier, Tomasz Walkowiak, Janusz Kacprzyk (Eds), Engineering in Dependability of Computer Systems and Networks – Proceedings of the 14th International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, July 1-5, 2019, Brunów, Poland, Springer, 2020.
168. Królczyk, Grzegorz, Wzorek, Małgorzata, Król, Anna, Kochan, Orest, Su, Jun, Kacprzyk, Janusz (Eds.), Sustainable Production: Novel Trends in Energy, Environment and Material Systems, Springer, 2020.
169. Castillo, Oscar, Melin, Patricia, Kacprzyk, Janusz (Eds.), Intuitionistic and type-2 fuzzy logic enhancements in neural and optimization algorithms: theory and applications, Springer, 2020.
170. Melin, Patricia, Castillo, Oscar, Kacprzyk, Janusz (Eds.), Recent Advances of Hybrid Intelligent Systems Based on Soft Computing, Springer, 2020.
171. Jardim-Goncalves, Ricardo, Sgurev, Vasil, Jotsov, Vladimir, Kacprzyk, Janusz (Eds.), Intelligent Systems: Theory, Research and Innovation in Applications, Springer, 2020.
172. Kulczycki, Piotr, Korbicz, Józef, Kacprzyk, Janusz (Eds.), Automatic Control, Robotics, and Information Processing, Springer, 2020.
173. Kulczycki, Piotr, Korbicz, Józef, Kacprzyk, Janusz (red.), Automatyka, Robotyka i Przetwarzanie Informacji, PWN, Warszawa, 2020.
174. Krassimir Atanassov, Vassia Atanassova, Janusz Kacprzyk, Andrzej Kałuszko, Maciej Krawczak,Jan Owsiński, Sotir Sotirov, Evdokia Sotirova, Eulalia Szmidt, Sławomir Zadrożny (eds.) – Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives. Selected Papers from BOS-2018, held on September 24-26, 2018, and IWIFSGN-2018, Springer Verlag, 2021.
175. R.A. Aliev, N.R. Yusupbekov, J. Kacprzyk, W. Pedrycz, F.M Sadikoglu (Eds): 11th World Conference “Intelligent System for Industrial Automation”(WCIS-2020), Springer Nature, 2020.
176. E. León-Castro, F. Blanco-Mesa, A.M. Gil-Lafuente, J.M. Merigó, J. Kacprzyk, J. (Eds.): Intelligent and Complex Systems in Economics and Business. Springer, 2021.
177. Melin, P., Castillo, O., Kacprzyk, J.L (Eds.): Recent Advances of Hybrid Intelligent Systems Based on Soft Computing. Springer, 2021.
178. T.Tagarev, K. Atanassov, V. Kharchenko, J. Kacprzyk (Eds.) Digital Transformation, Cyber Security and Resilience of Modern Societies. Springer, 2021.
179. Kacprzyk J., Ezziyyani M., Balas V.E. (eds.) (2023) International Conference on Advanced Intelligent Systems for Sustainable Development: Volume 3-Advanced Intelligent Systems on Agriculture and Health. Vol. 713. Springer Nature, 2023.
180. S. Sotirov, T. Pencheva, J. Kacprzyk, K.T. Atanassov, E. Sotirova, S. Ribagin (2023) Recent Contributions to Bioinformatics and Biomedical Sciences and Engineering, Springer, Cham.
181. Kacprzyk, J. (2023). Introduction to Soft Computing. In: Lin, TY., Liau, CJ., Kacprzyk, J. (eds) Granular, Fuzzy, and Soft Computing. Encyclopedia of Complexity and Systems Science Series. Springer, New York, NY. https://doi.org/10.1007/978-1-0716-2628-3_502
182. R. A. Aliev, J. Kacprzyk, W. Pedrycz, Mo. Jamshidi, M. B. Babanli, F. Sadikoglu, Eds/. (2023) 15th International Conference on Applications of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools–ICAFS-2022, Springer Nature.
183. Biele, C., Kacprzyk, J., Kopeć, W., Owsiński, J. W., Romanowski, A., & Sikorski, M. (Eds.). (2023). Digital Interaction and Machine Intelligence: Proceedings of MIDI’2022–10th Machine Intelligence and Digital Interaction–Conference, Springer Nature.
184. M. Pawełczyk, D. Bismor, J. Kacprzyk (Eds.) (2023 Advanced, Contemporary Control – Proceedings of the XXI Polish Control Conference, PCC 2023, Gliwice, Poland, Vol. 1 & 2, Springer Nature, https://doi.org/10.1007/978-3-031-35170-9.
185. TY Lin, CJ Liau, J Kacprzyk (2023) Granular, Fuzzy, and Soft Computing, Springer Nature

Special Issues of Journals

1. J. Kacprzyk (Guest ed.), Special Issue on Fuzzy Sets and Possibility Theory in Optimization Models, Control and Cybernetics, Vol. 13, No. 3, 1984.
2. J. Kacprzyk and E.H. Mamdani (Guest eds.), Proceedings of International Symposium on Fuzzy Information Processing in Operations Research and Artificial Intelligence (Cambridge, UK, September, 1984), Special Issue of Fuzzy Sets and Systems, Vol. 23, No. 1, 1987.
3. M. Zemankova and J. Kacprzyk (Guest eds.), Integrating Artificial Intelligence and Database Technologies, Special Issue of Journal of Intelligent Information Systems, Vol. 2, No 4, 1993.
4. D. Rutkowska, J. Kacprzyk and L.A. Zadeh (Guest eds.), Computing with Words and Perceptions, Special Issue of International Journal of Applied Mathematics and Computer Science, vol. 12, no 3, 2002.
5. Horak J., Kacprzyk J., Morris A., Owsiński J., Zadrożny S. (Guest eds.): Novel Approaches and Soft Methodologies in Geographic Information Systems: A Decision Support Perspective. Special Issue of Control and Cybernetics, Vol. 35, No.1, 2006.
6. De Tre G., Kacprzyk J., Yazici A., Zadrożny S. (Eds.): Advances in fuzzy querying: Theory and applications. Special Issue of ‘International Journal of Intelligent Systems’. Wiley-Interscience publication, 2011, 152 s.
7. Panetto, Hervé, Lezoche, Mario, Hernandez, Jorge, Diaz, Maria del Mar Eva Alemany, Kacprzyk, Janusz (Eds.), Special issue on Agri-Food 4.0 and digitalization in agriculture supply chains-New directions, challenges and applications, Computers in Industry, vol. 116, No. 103188, 2020

Articles in journals, edited volumes, conference proceedings, etc.

1. 1. J. Kacprzyk, Application of fuzzy sets theory for the optimal assignment of work places (in Polish), Archiwum Automatyki i Telemechaniki, T. XX, 247-260, 1975.
   2. J. Kacprzyk and W. Stańczak, Application of the method of minimal groups for the partitioning of a group of enterprises into subgroups (in Polish), Archiwum Automatyki i Telemechaniki, T. XX, 513-526, 1975.
   3. J. Kacprzyk and W. Stańczak, On an extension of the method of minimally interconnected subnetworks, Control and Cybernetics, Vol. 5, 61-77, 1976.
   4. J. Kacprzyk and W. Stańczak, Application of cluster theory for the partitioning of a group of enterprises into subgroups (in Polish), Organizacja i Kierowanie, No. 6, 45-62, 1976.
   5. J. Kacprzyk, Application of fuzzy relations for the ordering of subcriteria in complex multicriteria problems (in Russian), in Proceedings of 5th Polish – Bulgarian Symposium on Applications of Cybernetics in National Economy (Zakopane, Poland, 1975), IOK PAN and MNSzWiT, Warsaw, 1976, pp. 126-136.
   6. J. Kacprzyk and R. Weinfeld, A simple algorithm for random generation of organizational structures with a specified number of hierarchy levels, Archiwum Automatyki i Telemechaniki, T. XXII, 51-61, 1977.
   7. J. Kacprzyk and W. Stańczak, On the partitioning of a computer network into subnetworks and on the allocation of distributed databases (in Polish), Organizacja i Kierowanie, No. 8, 17-31, 1977.
   8. J. Kacprzyk, Control of a nonfuzzy system in a fuzzy environment with a fuzzy termination time, Systems Science, Vol. 3, 320-334, 1977.
   9. J. Kacprzyk and W. Stańczak, Partitioning a computer network into subnetworks and allocation of distributed databases, in J. Stoer (Ed.), Optimization Techniques, Part 2, Springer-Verlag, Berlin/New York, 1978, pp. 464-473.
   10. J. Kacprzyk, A branch-and-bound algorithm for the multistage control of a nonfuzzy system in a fuzzy environment, Control and Cybernetics, Vol. 7, 51-64, 1978.
   11. J. Kacprzyk, Control of a stochastic system in a fuzzy environment with a fuzzy termination time, Systems Science, Vol. 4, 291-300, 1978.
   12. J. Kacprzyk and W. Stańczak, On a further extension of the method of minimally interconnected subnetworks, Control and Cybernetics, Vol. 7, 17-31, 1978.
   13. J. Kacprzyk, Decision-making in a fuzzy environment with fuzzy termination time, Fuzzy Sets and Systems, Vol. 1, 169-179, 1978.
   14. J. Kacprzyk, A branch-and-bound algorithm for the multistage control of a fuzzy system in a fuzzy environment, Kybernetes, Vol. 8, 139-147, 1979.
   15. W. Stańczak and J. Kacprzyk, On the correlation between the national income and the degree of telephone saturation in the country (in Polish), Archiwum Elektrotechniki, T. XXVIII, 905-913, 1979.
   16. J. Kacprzyk and W. Stańczak, On the optimal location of a central warehouse in a supply system (in Polish), Archiwum Automatyki i Telemechaniki, T. XXV, 109-120, 1980.
   17. J. Kacprzyk and P. Staniewski, A new approach to the control of stochastic systems in a fuzzy environment, Archiwum Automatyki i Telemechaniki, T.XXV, 433-443, 1980.
   18. J. Kacprzyk and P. Staniewski, Determination of long – range inventory policies via fuzzy decision – making models, In Proceedings of 4th Polish – Italian Conference on Applications of Systems Theory to Economy, Management and Technology (Toruń, 1980), IBS PAN, Warsaw, 1980, pp. 327-335.
   19. J. Kacprzyk and A. Straszak, Determination of ‘stable’ integrated regional development trajectories via fuzzy decision-making models, In Proceedings of 4th Polish – Italian Conference on Applications of Systems Theory to Economy, Management and Technology (Toruń, 1980), IBS PAN, Warsaw, 1980, pp. 337-347.
   20. A. Straszak, J.W. Owsiński and J. Kacprzyk, Multicriteria policy assessment for regional agriculture through detailed optimization models, In Proceedings of 4th Polish – Italian Conference on Applications of Systems Theory to Economy, Management and Technology (Toruń, 1980), IBS PAN, Warsaw, 1980, pp. 563-580.
   21. J. Kacprzyk, J.W. Owsiński and A. Straszak, Agricultural policy making for integrated regional development in a mixed economy, In A. Titli and M.G. Singh (Eds.): Proceedings of Second IFAC Large Scale Systems Theory and Applications Symposium (Toulouse, France, 1979), Pergamon Press, Oxford, 1980, pp. 9.
   22. M.M. Albegov, A. Straszak, J. Kacprzyk and J.W. Owsiński, A generalized regional agriculture model GRAM for the Upper Noteć region (in Polish), Prace IBS PAN, Vol 50, Warsaw, 1980.
   23. M.M. Albegov, J. Kacprzyk, J.W. Owsiński and A. Straszak, Regional agricultural policy making on the basis of a detailed economic and agricultural model, Working Paper WP-80-18, International Institute for Applied Systems Analysis, Laxenburg (Austria), 1980.
   24. J. Kacprzyk and W. Stańczak, Some contribution to the method of minimal sets for large graphs, Control and Cybernetics, Vol. 10, 89-100, 1981.
   25. J. Kacprzyk, K. Safteruk and P. Staniewski, Control of a stochastic system in a fuzzy environment over an infinite horizon in a non-Bellman-Zadeh setting, In A. Straszak and A. Ziółkowski (Eds.), Proceedings of First Polish – Finnish Symposium on Systems Analysis and its Applications (Zaborów, Poland, 1980), Prace IBS PAN, Warsaw, 1981, Part I, pp. 79-91.
   26. J. Kacprzyk and M. Krawczak, On an inexact transportation problem, In K. Iracki, K. Malanowski and S. Walukiewicz (Eds.), Optimization Techniques, Springer – Verlag, Berlin / New York, 1980, pp. 373-379.
   27. J. Kacprzyk and A. Straszak, Application of fuzzy decision -making models for determining optimal policies in `stable’ integrated regional development, In P. P. Wang and S. K. Chang (Eds.), Fuzzy Sets Theory and Applications to Policy Analysis and Information Systems, Plenum, New York, 1980, pp. 321-328.
   28. M.M. Albegov, J. Kacprzyk, J.W. Owsiński and A. Straszak, Regional agricultural policy making on the basis of a detailed economic and agricultural model, In J.M.L. Janssen , L.F. Pau and A. Straszak (Eds.): Dynamic Modelling and Control of National Economies, Pergamon Press, Oxford, pp. 231–245, 1980.
   29. J. Kacprzyk, K. Safteruk and P. Staniewski, On the control of stochastic systems in a fuzzy environment over infinite horizon, Systems Science, Vol. 7, 121-131, 1981.
   30. J. Kacprzyk. T. Stachowiak and W. Stańczak, On a practical method for determining the cost of a telecommunication network of a hierarchical structure (in Polish), Archiwum Elektrotechniki, T. XXX, 575-600, 1981.
   31. J.W. Owsiński and J. Kacprzyk, The Kinki regional model system: problems and model structures, In R. Kulikowski (Ed.): Systems Analysis Applications in Modelling of Regional Development, PWN, Warsaw-Łódź, 1981, pp. 87-100.
   32. J. Kacprzyk, Multistage decision processes in a fuzzy environment: a survey, In M.M. Gupta and E. Sanchez (Eds.), Fuzzy Information and Decision Processes, North-Holland, Amsterdam, 1982, pp. 251 – 253.
   33. J. Kacprzyk and P. Staniewski, Long-term inventory policy-making through fuzzy decision- making models, Fuzzy Sets and Systems, Vol. 8, 117-132, 1982.
   34. M.M. Albegov, J. Kacprzyk, W. Orchard-Hays, J.W. Owsiński and A. Straszak, A general regional agriculture model GRAM applied to a region in Poland, RR-82-26, International Institute for Applied Systems Analysis, Laxenburg (Austria), 1982.
   35. J. Kacprzyk and A. Straszak, A fuzzy approach to the stability of integrated regional development, In G.E. Lasker (Ed.):Applied Systems and Cybernetics, Vol. 6, Pergamon Press, New York, 1982, pp. 2997-3004.
   36. J. Kacprzyk and A. Straszak, Determination of ‘stable` regional development trajectories via a fuzzy decision-making model, In R.R. Yager (Ed.): Recent Developments in Fuzzy Sets and Possibility Theory, Pergamon Press, New York, 1982, pp. 531-541.
   37. J. Kacprzyk, Control of a stochastic system in a fuzzy environment with Yager’s probability of a fuzzy event, Busefal, No. 12, 77-88, 1982/83.
   38. W. Stańczak and J. Kacprzyk, Remarks on rationalizing the configuration of a network, In Proceedings of Seventh Colloquium on Microwave Communication, Vol. I, OMIKK – Technoinform, Budapest, 1982, pp. 253-256.
   39. J. Kacprzyk and P. Staniewski, Control of a deterministic system in a fuzzy environment over an infinite planning horizon, Fuzzy Sets and Systems, Vol. 10, 291-298, 1983.
   40. J. Kacprzyk, A generalization of fuzzy multistage decision making and control via linguistic quantifiers, International Journal of Control, Vol. 38, 1249-1270, 1983.
   41. J. Kacprzyk and P. Staniewski, Control of a fuzzy system over infinite horizon via approximation by reference fuzzy sets, In Proceedings of Third Polish – German (GDR) Seminar on Non-Conventional Optimization Problems, ZFR Info.- 83.01, Berlin, 1983, pp. 93 -106.
   42. J. Kacprzyk and A. Straszak, Determination of stable trajectories for integrated regional development using fuzzy decision models, IEEE Transactions on Systems, Man and Cybernetics, Vol. SMC-14, 310-313, 1984.
   43. J. Kacprzyk, Design of socio-economic regional development policies via a fuzzy decision making model, In A. Straszak (Ed.): Large Scale Systems Theory and Applications – Proceedings of Third IFAC/IFORS Symposium (Warsaw, Poland, 1983), Pergamon Press, Oxford, 1984, pp. 228-232.
   44. M. Fedrizzi, J. Kacprzyk and F. Molinari, Determination of corporate investment policies in a soft setting using fuzzy decision making models, In A. Straszak (Ed.): Large Scale Systems Theory and Applications – Proceedings of Third IFAC/IFORS Symposium (Warsaw, Poland, 1983), Pergamon Press, Oxford, 1984, pp. 14 -146.
   45. J. Kacprzyk, Yager’s probability of a fuzzy event in stochastic control under fuzziness, In M.M. Gupta and M. Sanchez (Eds.): Fuzzy Information, Knowledge Representation and Decision Analysis – Proceedings of IFAC Workshop (Marseille, France, 1983), Pergamon Press, Oxford, 1984, pp. 379-384.
   46. J. Kacprzyk, A generalized formulation of multistage decision making and control under fuzziness, In M.M. Gupta and E. Sanchez (Eds.): Fuzzy Information, Knowledge Representation and Decision Analysis – Proceedings of IFAC Workshop (Marseille, France, 1983), Pergamon Press, Oxford, 1984, pp. 73-78.
   47. J. Kacprzyk and J.W. Owsiński, Non-standard mathematical programming models as a planning tool in an agricultural enterprise in changing economic conditions (in Polish), Proceedings of Conference on Organization of an Agricultural Enterprise in Changing Economic Conditions, TNOiK Szczecin, Poland, 1984, pp. 123-142.
   48. J. Kacprzyk and R.R. Yager, Linguistic quantifiers and belief qualification in fuzzy multicriteria and multistage decision making, Control and Cybernetics, Vol.13, 155-173, 1984.
   49. J. Kacprzyk, Collective decision making with a fuzzy majority rule, Proceedings of Sixth WOGSC (World Organization of General Systems and Cybernetics) International Congress (Paris, 1984), AFCET, Paris, 1984, pp. 153-160.
   50. W. Stańczak and J. Kacprzyk, Discrete approximation of the Weber problem with the Euclidean distance (in Polish), Applicationes Mathematicae, Vol. XVIII, 257-270, 1984.
   51. J. Kacprzyk and R.R Yager, ‘Softer’ optimization and control models via fuzzy linguistic quantifiers, Information Sciences, Vol. 34, 157-178, 1984.
   52. J. Kacprzyk, Zadeh’s commonsense knowledge and its use in multicriteria, multistage and multiperson decision making, In M.M. Gupta et al. (Eds.): Approximate Reasoning in Expert Systems, North-Holland, Amsterdam, 1985, pp. 105-121.
   53. J. Kacprzyk, Some commonsense solution concepts in group decision making via fuzzy linguistic quantifiers, In J. Kacprzyk and R.R. Yager (Eds.): Management Decision Support Systems Using Fuzzy Sets and Possibility Theory, Verlag TÜV Rheinland, Cologne, 1985, pp. 125-135.
   54. J. Kacprzyk, Representation and processing of commonsense knowledge using fuzzy logic: theory and applications (in Polish), Proceedings of First National Conference on Robotics, Wrocław, Poland, 1985, pp. 113-118.
   55. J. Kacprzyk, Group decision making with a fuzzy majority via linguistic quantifiers. Part I: a consensory – like pooling, Cybernetics and Systems: An International Journal, Vol. 16, 119-129, 1985.
   56. J. Kacprzyk, Group decision making with a fuzzy majority via linguistic quantifiers. Part II: a competitive-like pooling, Cybernetics and Systems: An International Journal, Vol. 16, 131-144, 1985.
   57. J. Kacprzyk and R.R. Yager, Emergency-oriented expert systems: a fuzzy approach, Information Sciences, Vol. 37, 147 – 156, 1985.
   58. J. Kacprzyk and W. Stańczak, On an extension of Weber problem with Euclidean distance, Optimization, Vol. 6, 849-861, 1985.
   59. J. Kacprzyk, Decision making under fuzziness (in Polish), Proceedings of Conference on Systems Engineering in Socio-Economic Development and National Defense, Warsaw, 1985, pp. 295-316.
   60. J. Kacprzyk, Group decision making with a fuzzy majority, Fuzzy Sets and Systems, Vol. 18, 105-118, 1986.
   61. J. Kacprzyk, J.W. Owsiński and S. Zadrożny, Agricultural production planning via fuzzy linear programming models, In J. Kacprzyk (Ed.): Proceedings of Seminar on Non-Conventional Problems of Optimization (Warsaw, 1984), Part III, Prace IBS PAN, 1986, pp. 321-332.
   62. J. Kacprzyk, A fuzzy approach to the representation of commonsense knowledge and its use in decision making, In J. Kacprzyk (Ed.): Proceedings of Seminar on Non-Conventional Problems of Optimization (Warsaw, 1984), Part I, Prace IBS PAN, 1986, pp. 7-23.
   63. J. Kacprzyk, Towards human-consistent multistage decision making and control models via fuzzy sets and fuzzy logic, Bellman Memorial Issue (A.O. Esogbue, Ed.), Fuzzy Sets and Systems, Vol. 18, 299 – 314, 1986.
   64. J. Kacprzyk and A Ziółkowski, Database queries with fuzzy linguistic quantifiers, IEEE Transactions on Systems, Man and Cybernetics, Vol. SMC-16, 474-479, 1986.
   65. J. Kacprzyk and A. Ziółkowski, Retrieval from databases using queries with fuzzy linguistic quantifiers, In H. Prade and C.V. Negoita (Eds.): Fuzzy Logics in Knowledge Engineering, Verlag TÜV Rheinland, Cologne, 1986, pp. 46 -57.
   66. J. Kacprzyk, A down-to-earth managerial decision making via a fuzzy-logic-based representation of commonsense knowledge, In L.F. Pau (Ed.): Artificial Intelligence in Economics and Management, Elsevier (North – Holland), Amsterdam, 1986, pp. 57-64.
   67. J. Kacprzyk and A. Ziółkowski, Database querying schemes with fuzzy linguistic quantifiers, Proceedings of NAFIPS’ 86 Conference (New Orleans, USA, 1986), 1986, pp. 296-311.
   68. J. Kacprzyk and A. Straszak, Strategic regional development policy making using a fuzzy model, In A. Straszak and J.W. Owsiński (Eds.): Strategic Regional Policy: Paradigms, Methods, Issues, and Case Studies, Part I, Warsaw, 1986, pp. 48-63.
   69. M. Fedrizzi and J. Kacprzyk, Essentials of fuzzy sets theory: a linguistic perspective, In S. Bocklisch, S. Orlovski, M. Peschel and Y. Nishiwaki (Eds.): Fuzzy Sets: Applications, Methodological Approaches and Results, Band 30, Mathematical Research, Akademie – Verlag, Berlin (GDR), 1986, pp. 56-63.
   70. J. Kacprzyk, Fuzzy dispositions as a tool for more human-perception-consistent models in systems analysis, In S. Bocklisch, S. Orlovski, M. Peschel and Y. Nishiwaki (Eds.): Fuzzy Sets: Applications, Methodological Approaches and Results, Band 30, Mathematical Research, Akademie – Verlag, Berlin (GDR), 1986, pp. 64-73.
   71. J. Kacprzyk and M. Fedrizzi, ‘Soft’ consensus measures for monitoring real consensus reaching processes under fuzzy preferences, Control and Cybernetics, Vol. 15, 309-323, 1986.
   72. J. Kacprzyk, Towards an algorithmic/procedural `human consistency’ of decision support systems, In W. Karwowski and A. Mital (Eds.): Applications of Fuzzy Set Theory in Human Factors, Elsevier, Amsterdam, 1986, pp. 101-116.
   73. J. Kacprzyk, On some fuzzy cores and ‘soft’ consensus measures in group decision making, In J.C. Bezdek (Ed.): The Analysis of Fuzzy Information, Vol. II, Boca Raton, USA, 1987, pp. 119-130.
   74. J. Kacprzyk and C. Iwański, A generalization of discounted multistage decision making and control through fuzzy linguistic quantifiers: an attempt to introduce commonsense knowledge, International Journal of Control, Vol. 45, 1909-1930, 1987.
   75. J. Kacprzyk and S.A. Orlovski, Fuzzy optimization and mathematical programming: a brief introduction and survey, In J. Kacprzyk and S.A. Orlovski (Eds.): Optimization Models Using Fuzzy Sets and Possibility Theory, Reidel, Dordrecht/Boston/Lancaster, 1987, pp. 50-72.
   76. J. Kacprzyk, J.W. Owsiński and S. Zadrożny, Analysing water use and needs in agriculture through a fuzzy programming model, In J. Kacprzyk and S.A. Orlovski (Eds.): Optimization Models Using Fuzzy Sets and Possibility Theory, Reidel, Dordrecht/Boston/Lancaster, 1987, pp. 377-395.
   77. J. Kacprzyk, Towards `human-consistent’ decision support systems through commonsense knowledge based decision making and control models: a fuzzy logic approach, Computers and Artificial Intelligence, Vol. 6, 97-122, 1987.
   78. J. Kacprzyk, Stochastic systems in fuzzy environments: control, In M.G. Singh (Ed.): Systems and Control Encyclopedia, Pergamon Press, Oxford, 1987, pp. 4657-4661.
   79. J. Fedrizzi and J. Kacprzyk, On measuring consensus in the setting of fuzzy preference relations, In J. Kacprzyk and M. Roubens (Eds.): Non-Conventional Preference Relations in Decision Making, Springer-Verlag, Berlin/ New York, 1988, pp. 129-141.
   80. J. Kacprzyk and M. Fedrizzi, A `soft’ measure of consensus in the setting of partial (fuzzy) preferences, European Journal of Operational Research, Vol. 34, 316-325, 1988.
   81. J. Kacprzyk, S. Zadrożny and M. Fedrizzi, An interactive user-friendly decision support system for consensus reaching based on fuzzy logic with linguistic quantifiers, In M.M. Gupta and T. Yamakawa (Eds.): Fuzzy Computing, Elsevier (North-Holland), Amsterdam, 1988, pp. 307-322.
   82. J. Esogbue, M. Fedrizzi and J. Kacprzyk, Fuzzy dynamic programming with stochastic systems, In J. Kacprzyk and M. Fedrizzi (Eds.): Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making, Springer -Verlag, Berlin/New York, 1988, pp. 266-285.
   83. J. Kacprzyk, Fuzzy logic with linguistic quantifiers: a tool for better modeling of human evidence aggregation processes?, In T. Zetenyi (Ed.): Fuzzy Sets in Psychology, Elsevier, Amsterdam, 1988, pp. 233-263.
   84. J. Kacprzyk and S. Zadrożny, An interactive decision support system for consensus reaching base on fuzzy logic with linguistic quantifiers (in Polish), In R. Kulikowski (Ed.), Computer Systems and Methods for Decision Support, IBS PAN, Warsaw, 1988, pp. 305-314.
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   86. J. Kacprzyk, A possibilistic approximate reasoning scheme based on IF-THEN rules represented by compatibility relations, In Z.W. Raś and L. Saitta (Eds.): Methodologies for Intelligent Systems, North-Holland, Amsterdam, 1988, pp. 50-59.
   87. J. Kacprzyk and M. Fedrizzi, Inference via belief qualified IF-THEN rules based on compatibility relations and possibility theory, In B. Bouchon, L. Saitta and R.R. Yager (Eds..): Uncertainty and Intelligent Systems (IPMU `88). Springer-Verlag, Berlin/New York/Tokyo, 1988, pp. 25-32.
   88. G. Gambarelli, J. Hołubiec and J. Kacprzyk, Modeling and optimization of international economic cooperation via fuzzy mathematical programming and cooperative games, Control and Cybernetics, Vol. 17, 291-300, 1988.
   89. M. Fedrizzi, J. Kacprzyk and S. Zadrożny, An interactive system for monitoring consensus reaching using ‘soft’ consensus measures, in J. Kacprzyk and A. Straszak (Eds.), Proceedings of First Joint IFSA-EC and EURO-WG Workshop on Progress in Fuzzy Sets in Europe (Warsaw, Poland, November, 1996), Prace IBS PAN, Vol. 167, Warsaw, 1988, pp. 70-82.
   90. J. Kacprzyk and A. Ziółkowski, New database queries with fuzzy linguistic quantifiers via an alternative calculus of linguistically quantified propositions, in J. Kacprzyk and A. Straszak (Eds.), Proceedings of First Joint IFSA-EC and EURO-WG Workshop on Progress in Fuzzy Sets in Europe (Warsaw, Poland, November, 1986), Prace IBS PAN, Vol. 167, Warsaw, 1988, pp. 139-154.
   91. J.W. Owsiński, S. Zadrożny and J. Kacprzyk, A fuzzy mathematical programming model for the analysis of resource use and needs in agriculture, in J. Kacprzyk and A. Straszak (Eds.), Proceedings of First Joint IFSA-EC and EURO-WG Workshop on Progress in Fuzzy Sets in Europe (Warsaw, Poland, November, 1986), Prace IBS PAN, Vol. 167, Warsaw, 1988, pp. 252-273.
   92. J. Kacprzyk and M. Fedrizzi, A ‘human-consistent’ degree of consensus based on fuzzy logic with linguistic quantifiers, Mathematical Social Sciences, Vol. 18, 275-290, 1989.
   93. J. Kacprzyk, S. Zadrożny and A. Ziółkowski, FQUERY III+: a ‘human-consistent’ database querying system based on fuzzy logic with linguistic quantifiers, Information Systems, 1989, Vol. 14, pp. 443 – 453.
   94. J. Kacprzyk, Compatibility relations as a representation of IF-THEN rules and their use in approximate reasoning, Fasciculi Mathematici, No. 19, 113 – 125, 1990.
   95. J. Kacprzyk, M. Fedrizzi and H. Nurmi, Group decision making with fuzzy majorities represented by linguistic quantifiers, In J.-L. Verdegay and M. Delgado (Eds.): Approximate Reasoning Tools for Artificial Intelligence, Verlag TÜV Rheinland, Cologne, 1990, pp. 126 – 145.
   96. H. Nurmi, M. Fedrizzi and J. Kacprzyk, Vague notions in the theory of voting, In J. Kacprzyk and M. Fedrizzi (Eds.): Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory, Kluwer, Dordrecht/Boston/London, pp. 43-52, 1990.
   97. J. Kacprzyk and M. Fedrizzi, On the concept of fuzzy majority in consensus formation, In M. Fedrizzi and J. Kacprzyk (Eds.): Proceedings of 8th Italian-Polish Symposium on Systems Analysis and Decision Support in Economics and Technology, Omnitech Press, Warsaw, pp. 209-223, 1990.
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   99. J. Kacprzyk and C. Iwański, Machine learning from incomplete and imprecise examples, In M. Fedrizzi and J. Kacprzyk (Eds.): Proceedings of 8th Italian-Polish Symposium on Systems Analysis and Decision Support in Economics and Technology, Omnitech Press, Warsaw, pp. 209-223, 1990.
   100. J. Kacprzyk, S. Zadrożny and M. Fedrizzi, An interactive decision support system for consensus reaching based on a fuzzy-majority-based measure of consensus, In R. Kulikowski and J. Rudnicki (Eds.): Systems Analysis and Computer Science (Proceedings of Second Polish – Spanish Conference, Rozalin, Poland, 1990), Omnitech Press, Warsaw, pp. 65-78, 1990.
   101. J. Kacprzyk, S. Zadrożny and M. Fedrizzi, Linguistic preferences and fuzzy majority in a DSS for consensus reaching, In R. Kulikowski and J. Stefański (Eds.): Decision Making Models for Management and Manufacturing (Proceedings of First Polish – Chinese Symposium, Nieborów, Poland, 1990), Omnitech Press, Warsaw, pp. 65-77, 1990.
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   103. J. Kacprzyk, M. Fedrizzi and H. Nurmi, Fuzzy logic with linguistic quantifiers in group decision making and consensus formation, in in R. Kulikowski and J. Kacprzyk (Eds.): Systems Research, Vol. 3, 1990, pp. 171-192.
   104. J. Kacprzyk and R.R. Yager, Using fuzzy logic with linguistic quantifiers in multiobjective decision making and optimization: a step towards more human-consistent models, In R. Słowiński and J. Teghem (Eds.): Stochastic versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty, Kluwer, Dordrecht, pp. 331 – 350, 1990.
   105. J. Kacprzyk, J.W. Owsiński and S. Zadrożny, A decision support system for consensus reaching using linguistic quantifiers and an assessment of similarity between preferences (in Polish), In Z. Nahorski, M. Chudy and A. Straszak (Eds.): Models and Decisions: Economics, environment protection, medicine, technology, combat systems. Polish Operations and Systems Research Society, IBS PAN and WT, Warsaw, 1991, pp. 139–145.
   106. J. Kacprzyk and C. Iwański, Inductive learning from incomplete and imprecise examples, In B. Bouchon-Meunier, R.R. Yager and L.A. Zadeh (Eds.): Uncertainty in Knowledge Bases, Springer-Verlag, Berlin/New York, pp. 424-430, 1991.
   107. J. Kacprzyk, Compatibility relations for the representation of associations between variables in knowledge-based systems, and their use in approximate reasoning, Fuzzy Sets and Systems, Vol. 42, 273-291, 1991.
   108. H. Nurmi and J. Kacprzyk, On fuzzy tournaments and their solution concepts in group decision making, European Journal of Operational Research, Vol. 51, 223-232, 1991.
   109. J. Kacprzyk and C. Iwański, Inductive learning under imprecision and errors, Proceedings of Fourth IFSA Congress (Brussels, Belgium), Ser. Artificial Intelligence, pp. 78-81, 1991.
   110. J. Kacprzyk and M. Fedrizzi, Specificity of belief qualified IF-THEN rules, Proceedings of Fourth IFSA Congress (Brussels, Belgium), Ser. Artificial Intelligence, pp. 93-96, 1991.
   111. J. Kacprzyk, Fuzzy linguistic quantifiers in decision making and control, Proceedings of International Fuzzy Engineering Symposium – IFES ’91 (Yokohama, 1991), Vol. 2, pp. 800-811, 1991.
   112. M. Fedrizzi, J. Kacprzyk and J.-L. Verdegay, A survey of fuzzy optimization and mathematical programming, In M. Fedrizzi, J. Kacprzyk and M. Roubens (Eds.): Interactive Fuzzy Optimization, Springer-Verlag, Heidelberg, pp. 15-28, 1991.
   113. M. Fedrizzi and J. Kacprzyk, Brief introduction to fuzzy sets and fuzzy arithmetic, In J. Kacprzyk and M. Fedrizzi (Eds.): Fuzzy Regression Analysis, Omnitech Press, Warsaw and Physica-Verlag, Heidelberg, pp. 14-20, 1992.
   114. J. Kacprzyk, M. Fedrizzi and H. Nurmi,Fuzzy logic with linguistic quantifiers in group decision making, In R.R. Yager and L.A. Zadeh (Eds.): An Introduction to Fuzzy Logic Applications in Intelligent Systems. Kluwer, Dordrecht/Boston/Lancaster/Tokyo, pp. 263-280, 1992.
   115. J. Kacprzyk, M. Fedrizzi and H. Nurmi, Group decision making and consensus under fuzzy preferences and fuzzy majority, Fuzzy Sets and Systems Vol. 49, 21-31, 1992.
   116. J. Kacprzyk, Fuzzy optimal control revisited: toward a new generation of fuzzy control?, Proceedings of Second International Conference on Fuzzy Logic and Neural Networks (IIZUKA’92), Vol. 1, pp. 429-432, 1992.
   117. J. Kacprzyk and C. Iwański, Fuzzy logic with linguistic quantifiers in inductive learning, In V. Novak, J. Ramik, J .Mares, M. Cerny and J. Nekola (Eds.): Fuzzy Approach to Reasoning and Decision Making, Kluwer, Dordrecht/Boston/London/Tokyo and Academia, Prague, 1992, pp. 29-38.
   118. J. Kacprzyk and C. Iwański, Fuzzy logic with linguistic quantifiers in inductive learning, In L.A. Zadeh and J. Kacprzyk (Eds.): Fuzzy Logic for the Management of Uncertainty, Wiley, New York, pp. 465-478, 1992.
   119. J. Kacprzyk, Fuzzy logic with linguistic quantifiers in decision making and control, Archives of Control Sciences, Vol. 1 (XXXVII), 127-141, 1992.
   120. J. Kacprzyk, Fuzzy sets and fuzzy logic, In S.C. Shapiro (Ed.): Encyclopedia of Artificial Intelligence, Vol. 1, Wiley, New York, 1992, pp. 537-542.
   121. J. Kacprzyk and C. Iwański, Fuzzy quantifiers in inductive learning with perception of errors in data, Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE ’92), pp. 477-484, 1992.
   122. J. Kacprzyk, Foundations of fuzzy optimal control: a step toward a new generation of fuzzy control models, Proceedings of CIFT`92 – Current Issues in Fuzzy Technologies – Decision and Control (May 28 – 30, 1992, Trento, Italy), 1992, pp. 62 – 69.
   123. J. Kacprzyk, Interpolative reasoning in optimal fuzzy control, Proceedings of Second IEEE International Conference on Fuzzy Systems (FUZZ – IEEE ’93), Vol. II, pp. 1259-1263.
   124. M. Fedrizzi, J. Kacprzyk and H. Nurmi, How different are social choice functions: a rough sets approach, In P. Eklund and J. Mattila (Eds.): Fuzziness in Finland (FiF ’93). Abo Akademi, Computer Science and Mathematics., Ser. B, No. 15, pp. 23-38, 1993.
   125. J. Kacprzyk, Fuzzy control with an explicit performance function using dynamic programming and interpolative reasoning, Proceedings of EUFIT`93 – First European Congress on Fuzzy and Intelligent Technologies (Aachen, Germany, 1993), Vol. 3, pp. 1459-1463.
   126. J. Kacprzyk, J.W. Owsiński and S. Zadrożny, Supporting consensus reaching using cluster analysis of the group’s fuzzy preference structure, Proceedings of EUFIT`93 – First European Congress on Fuzzy and Intelligent Technologies (Aachen, Niemcy, 1993), Vol. 2, pp. 949-955.
   127. J. Kacprzyk, A prescriptive approach to fuzzy control: a step toward a `more mature’ fuzzy control?, Proceedings of First Asian Fuzzy Systems Symposium (November 23 – 26, Singapore), 1993, pp. 360 -365.
   128. J. Kacprzyk, In search for a new generation of fuzzy control: can a prescriptive approach based on interpolative reasoning and neural networks help?, Proceedings of ANZIIS ’93 – Australian and New Zealand Conference on Intelligent Information Systems (December 1 – 3, 1993, Perth, Australia), 1993, pp. 402-406.
   129. M. Fedrizzi, J. Kacprzyk and H. Nurmi, Consensus degrees under fuzzy majorities and fuzzy preferences using OWA (ordered weighted average) operators. Control and Cybernetics, Vol. 22, 71-80, 1993.
   130. J. Kacprzyk and J.W. Owsiński, Regional problems in systems analysis (in Polish), In Region and Regionalism – Concepts and Reality, Slavic Publishing Center, Warsaw, 1993, pp. 217–234.
   131. M. Fedrizzi and J. Kacprzyk, Consensus degrees under fuzzy majorities and preferences using OWA (ordered weighted average) operators, Proceedings of the Fifth International Fuzzy Systems Association World Congress ’93 (Seoul, Korea, July 1993), 1993, Vol. I, pp. 624–626.
   132. J. Kacprzyk, Interpolative reasoning for computationally efficient optimal fuzzy control, Proceedings of the Fifth International Fuzzy Systems Association World Congress ’93 (Seoul, Korea, July 1993) of 1993, Vol. II, pp. 1270–1273.
   133. M. Zemankova and J. Kacprzyk, The roles of fuzzy logic and management of uncertainty in building intelligent information systems, Journal of Intelligent Information Systems, Vol. 2, 311-317, 1993.
   134. J. Kacprzyk, Fuzzy dynamic programming – basic issues, In: M. Delgado, J. Kacprzyk, J.-L. 2Verdegay and M.A. Vila (Eds.): Fuzzy Optimization: Recent Advances, Physica – Verlag, Heidelberg (A Springer-Verlag Company), pp. 321 – 331, 1994.
   135. J. Kacprzyk, On measuring the specificity of IF – THEN rules, International Journal of Approximate Reasoning, Vol. 11, No 1, 29 – 53, 1994.
   136. M. Fedrizzi, J. Kacprzyk, J.W. Owsiński i S. Zadrożny, Consensus reaching via a GDSS with fuzzy majority and clustering of preference profiles, Annals of Operations Research, Vol. 51, 127 – 139, 1994.
   137. J. Kacprzyk and S. Zadrożny, Fuzzy querying for Microsoft Access, Proceedings of Third IEEE International Conference on Fuzzy Systems – FUZZ – IEEE’94 (Orlando, FL, USA), 1994, Vol. 1, pp. 167 – 171.
   138. J. Kacprzyk, Fuzzy systems, neural networks and evolutionary programming: new paradigms for decision support, Proceedings of Fourth International Workshop on Current Issues in Fuzzy Technologies – CIFT’94 (Trento, Włochy), 1994, pp. 118 – 120.
   139. J. Kacprzyk, Fuzzy dynamic programming – battling against the curse of dimensionality via interpolative reasoning, Procedings of the Third International Conference on Fuzzy Logic, Neural Nets and Soft Computing – IIZUKA’94 (Iizuka, Japan), 1994, pp. 245 – 246.
   140. J. Kacprzyk, Prescriptive approaches to fuzzy control: yet-to-be-rediscovered old jewels?, Proceedings of Brazil – Japan Joint Symposium on Fuzzy Systems, Vol. Tutorials, 1994, pp.. 22 – 35.
   141. J. Kacprzyk, On prescriptive approaches to fuzzy control, Proceedings of the First Workshop on Fuzzy Based Expert Systems – FUBEST’94 (Sofia, Bulgaria), 1994, pp.1 – 3.
   142. J. Kacprzyk and G. Szkatuła, Machine learning from examples under errors in data, Proceedings of Fifth International Conference in Information Processing and Management of Uncertainty in Knowledge – Based Systems – IPMU’94 (Paris, France), 1994, Vol. 2, pp. 1047 – 1051.
   143. M. Fedrizzi, J. Kacprzyk, J.W. Owsiński and S. Zadrożny, Group structure analysis for consensus reaching problems, in R. Kulikowski, K. Szkatuła and J. Kacprzyk (Eds.): Proceedings of 9th Polish – Italian and 5th Polish – Finnish Symposium on Systems Analysis and Decision Support in Economics and Technology (Radziejowice, Poland), Omnitech Press, Warsaw, 1994, pp. 80 – 90.
   144. J. Kacprzyk, Interpolative reasoning in multistage optimal fuzzy control, in R. Kulikowski, K. Szkatuła and J. Kacprzyk (Eds.): Proceedings of 9th Polish – Italian and 5th Polish – Finnish Symposium on Systems Analysis and Decision Support in Economics and Technology (Radziejowice, Poland), Omnitech Press, Warsaw, 1994, pp. 144 – 150.
   145. J. Kacprzyk and G. Szkatuła, An approach to inductive learning under errors in data, Proceedings of the 1994 Second Australian and New Zealand Conference on Intelligent Information Systems – ANZIIS’94 (Brisbane, Australia), 1994, pp. 352 – 356.
   146. J. Kacprzyk and S. Zadrożny, Fuzzy queries in Microsoft Access: toward a ‘more intelligent’ use of Microsoft Windows based DBMSs, Proceedings of the 1994 Second Australian and New Zealand Conference on Intelligent Information Systems – ANZIIS’94 (Brisbane, Australia), 1994, pp. 492 – 496.
   147. J. Kacprzyk, Prescriptive approaches to fuzzy control: yet-to-be rediscovered old jewels?’, Controle & Automacao, vol. 4, no. 3, 1994, pp. 141 – 154.
   148. J. Kacprzyk and S. Zadrożny, Fuzzy queries in Microsoft Access v. 2, Proceedings of FUZZ – IEEE / IFES ’95 (International Joint Conference of 4th IEEE International Conference on Fuzzy Systems and 2nd International Fuzzy Engineering Symposium) (Yokohama, Japan), Workshop on Fuzzy Database Systems and Information Retrieval, 1995, pp. 61 – 66.
   149. J. Kacprzyk, Multistage control of a fuzzy system using a genetic algorithm, Proceedings of FUZZ – IEEE / IFES ’95 (International Joint Conference of 4th IEEE International Conference on Fuzzy Systems and 2nd International Fuzzy Engineering Symposium) (Yokohama, Japan), Vol. III, 1995, pp. 1083 – 1088.
   150. J. Kacprzyk, Reasoning under uncertainty (in Polish), in R. Kulikowski and L. Bogdan (eds.): Decision Support, Expert Systems, Systems Research Institute, Polish Academy of Sciences Warsaw, 1995, pp. 39 – 53.
   151. J. Hołubiec and J. Kacprzyk, Forecasting the results of parliament elections. A proposal to use rough sets (in Polish), in R. Kulikowski and L. Bogdan (eds.): Decision Support, Expert Systems, Systems Research Institute, Polish Academy of Sciences Warsaw, 1995, pp. 121 – 125.
   152. J. Kacprzyk and M. Fedrizzi, Developing a fuzzy logic controller in case of sparse testimonies, International Journal of Approximate Reasoning, Vol. 12, No. 3/4, pp. 221 – 236, 1995.
   153. J. Kacprzyk and M. Fedrizzi, A fuzzy majority in group DM and consensus via the OWA operators with importance qualification, Proceedings of CIFT’95 – Current Issues in Fuzzy Technologies (Trento, Italy), 1995, pp. 128 – 137.
   154. J. Kacprzyk, R.A. Francelin and F.A.C. Gomide, Multistage fuzzy control: problem classes and their solution via dynamic programming, branch-and-bound, neural networks and genetic algorithms, Proceedings of 6th International Fuzzy Systems Association World Congress (Sao Paolo, Brazil), 1995, Vol. II, pp. 213 – 216.
   155. R.A. Francelin, F.A.C. Gomide and J. Kacprzyk, A class of neural networks for dynamic programming, Proceedings of 6th International Fuzzy Systems Association World Congress (Sao Paolo, Brazil), 1995, Vol. II, pp. 221 – 224.
   156. J. Kacprzyk, Multistage fuzzy control using a genetic algorithm, Proceedings of 6th International Fuzzy Systems Association World Congress (Sao Paolo, Brazil), 1995, Vol. II, pp. 225 – 228.
   157. J. Kacprzyk and S. Zadrożny, Fuzzy queries in Microsoft Access v. 2, Proceedings of 6th International Fuzzy Systems Association World Congress (Sao Paolo, Brazil), 1995, Vol. II, pp. 341 – 344.
   158. J. Kacprzyk and S. Zadrożny, FQUERY for Access: fuzzy querying for a Windows-based DBMS, in P. Bosc and J. Kacprzyk (eds.): Fuzziness in Database Management Systems. Physica-Verlag, Heidelberg, 1995, pp. 415-433.
   159. S. Zadrożny and J. Kacprzyk, Fuzzy querying using the ‘query-by-example’ option in a Windows-based DBMS, Proceedings of Third European Congress on Intelligent Techniques and Soft Computing – EUFIT’95 (Aachen, Germany), 1995, vol. 2, pp. 733-736.
   160. J. Kacprzyk, A modified genetic algorithm for multistage control of a fuzzy system, Proceedings of Third European Congress on Intelligent Techniques and Soft Computing – EUFIT’95 (Aachen, Germany), 1995, vol. 1, pp. 463-466.
   161. J. Kacprzyk, Fuzzy dynamic programming: a new quality through fuzy sets, in Da Ruan (Ed.): Fuzzy Sets Theory and Advanced Mathematical Applications, Kluwer, Dordrecht, 1995, pp. 137 – 154.
   162. J. Kacprzyk, Fuzzy logic in DBMSs and querying, in N.K. Kasabov and G. Coghill (eds.): Proceedings of Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems (Dunedin, New Zealand), IEEE CS Press, Los Alamitos, CA, USA, 1995, pp. 106 – 109.
   163. J. Kacprzyk and G. Szkatuła, Machine learning from examples under errors in data, in B. Bouchon-Meunier, R.R. Yager and L.A. Zadeh (eds.): Fuzzy Logic and Soft Computing, World Scientific, Singapore, 1995, pp. 31 – 36.
   164. J. Kacprzyk, Interpolative reasoning for computationally efficient optimal multistage fuzzy control, in Z. Bien and K.C. Min (Eds.): Fuzzy Logic and its Applications in Engineering, Information Sciences and Intelligent Systems, Kluwer, Dordrecht, 1995, pp. 215 – 224.
   165. J. Kacprzyk and M. Fedrizzi, Consensus degrees under fuzziness via ordered weighted average (OWA) operators, in Z. Bien and K.C. Min (Eds.): Fuzzy Logic and its Applications in Engineering, Information Sciences and Intelligent Systems, Kluwer, Dordrecht, 1995, pp. 447 – 454.
   166. J. Kacprzyk, Reasoning under uncertainty (in Polish), in W. Traczyk (ed.): Problems of Artificial Intelligence, T. XXVIII, Wiedza i Życie, Warsaw, 1995, pp. 77 – 114.
   167. K.C.Patra, B.B.Pati, and J.Kacprzyk, Prediction of limit cycle in non-linear multivariable Systems, Archives of Control Sciences, Poland, Vol.4, 1995, No.3&4, pp.281-297
   168. M. Fedrizzi, J. Kacprzyk and H. Nurmi, How different are social choice functions: a rough sets approach, Quality and Quantity, vol. 30, pp. 87 – 99, 1996.
   169. J. Kacprzyk, Monitoring consensus reaching under fuzziness, w R. Felix (Ed.): Proceedings of EFDAN’96 – European Workshop on Fuzzy Decision Analysis for Management, Planning and Optimization (Dortmund, Germany), pp. 7 – 12
   170. J. Kacprzyk and A.O. Esogbue, Fuzzy dynamic programming: main developments and applications, Fuzzy Sets and Systems, vol. 81, pp. 31 – 45, 1996.
   171. W. Dobrzyński, J. Kacprzyk and S. Zadrożny, Some experience in fuzzy querying via an add-on for FoxPro for Windows v. 2.5 for a lake pollution database at a governmental environment agency, Proceedings of IPMU’96 – 6th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (Granada, Spain), 1996, vol. 1, pp. 13 – 19.
   172. J. Kacprzyk and S. Zadrożny, A fuzzy querying interface for a WWW-server-based relational DBMS, Proceedings of IPMU’96 – 6th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (Granada, Spain), 1996, vol. 1, pp. 19 – 24.
   173. J. Kacprzyk and G. Szkatuła, An algorithm for learning from erroneous and incorrigible examples, International Journal of Intelligent Systems, vol. 11, pp. 565 – 582, 1996.
   174. A.O. Esogbue and J. Kacprzyk, Fuzzy dynamic programming: a survey of main developments and applications, Archives of Control Sciences, vol. 5(XLI), pp. 39 – 59, 1996.
   175. J. Kacprzyk, Towards ‘more intelligent’ fuzzy control via model-based prescriptive approaches, Proceedings of 1996 IEEE International Conference on Systems, Man and Cybernetics (Beijing, China), vol. 3, pp. 1758 – 1763, 1996.
   176. E. Szmidt and J. Kacprzyk, Intuitionistic fuzzy sets in group decision making, Notes on Intuitionistic Fuzzy Sets, vol. 2, no 1, pp. 15 – 32, 1996.
   177. S. Zadrożny and J. Kacprzyk, “Multi-valued fields and values in fuzzy querying via FQUERY for Access’’, Proceedings of FUZZ−IEEE’96 – Fifth International Conference on Fuzzy Systems New Orleans, USA), 1996, vol. 2, pp. 1351 – 1357.
   178. S. Zadrożny and J. Kacprzyk, qyer for Access: towards humans consistent querying user interface. In: Proceedings of the ACM Symposium on Applied Computing – SAC’96 (Philadelphia, USA), pp. 532 – 536.
   179. J. Kacprzyk, “Fuzzy quantifiers and OWA operators in inductive learning from erroneous examples’’, Proceedings of FUZZ−IEEE’96 – Fifth International Conference on Fuzzy Systems (New Orleans, USA), vol. 2, pp. 1382 – 1386, 1996.
   180. J. Kacprzyk, “Multistage control under fuzziness using genetic algorithms’’, Control and Cybernetics, vol. 25, pp. 1181 – 1215, 1996.
   181. J. Kacprzyk, “Database management systems: next popular fuzzy-logic-based products?’’, Proceedings of SIC’96 – International Panel Conference on Soft and Intelligent Computing (Budapest, Hungary), pp. 151 – 156, 1996.
   182. H. Nurmi, J. Kacprzyk and M. Fedrizzi, “Probabilistic, fuzzy and rough concepts in social choice’’, European Journal of Operational Research, vol. 95, pp. 264 – 277, 1996.
   183. J. Kacprzyk, Fuzzy logic for human-consistent database management systems, Proceedings of FUZZY’96 – Fuzzy Logic in Engineering and Natural Sciences (Zittau, Germany), pp. 67-73, 1996.
   184. J. Kacprzyk, “A prescriptive model-based approach to fuzzy control of low-varying stabilization-type processes’’, in T. Yamakawa and G. Matsumoto (Eds.): Methodologies for the Conception, Design and Application of Intelligent Systems (Proceedings of IIZUKA’96), World Scientific, Singapore, Vol. 1, pp. 402 – 405, 1996.
   185. J. Kacprzyk, M. Fedrizzi and H. Nurmi, Soft degrees of consensus under fuzzy preferences and fuzzy majorities, in J. Kacprzyk, H. Nurmi i M. Fedrizzi (Eds.): Consensus under Fuzziness, Kluwer, Boston, pp. 55 – 83, 1996.
   186. E. Szmidt and J. Kacprzyk, “Remarks on some applications of intuitionistic fuzzy sets in decision making, Notes on Intuitionistic Fuzzy Sets, 1996, vol. 2, pp. 22 – 31.
   187. E. Szmidt and J. Kacprzyk, “Group decision making via intuitionistic fuzzy sets, Proceedings of FUBEST’96 – Second Workshop on Fuzzy Based Expert Systems (Sofia, Bulgaria), pp. 100 – 112, 1996.
   188. J. Kacprzyk and S. Zadrożny, “Fuzzy queries in Microsoft Access v. 2’’, in D. Dubois, H. Prade and R.R. Yager (Eds.): Fuzzy Information Engineering – A Guided Tour of Applications, Wiley, New York, 1997, pp. 223 – 232.
   189. J. Kacprzyk, S. Zadrożny and M. Fedrizzi, “An interactive GDSS for consensus reaching using fuzzy logic with linguistic quantifiers’’, in D. Dubois, H. Prade and R.R. Yager (Eds.): Fuzzy Information Engineering – A Guided Tour of Applications, Wiley, New York, 1997, pp. 567 – 574.
   190. J. Kacprzyk, M. Fedrizzi and H. Nurmi, OWA operators in group decision making and consensus reaching under fuzzy preferences and fuzzy majority, in R.R. Yager and J. Kacprzyk (Eds.), :The Ordered Weighted Averaging Operators: Theory and Applications, Kluwer, Boston, 1997, pp. 193 – 206.
   191. J. Kacprzyk and S. Zadrożny, Implementation of OWA operators in fuzzy querying for Microsoft Access, in R.R. Yager and J. Kacprzyk (Eds.), :The Ordered Weighted Averaging Operators: Theory and Applications, Kluwer, Boston, 1997, pp. 293 – 306.
   192. J. Kacprzyk, OWA operators in machine learning from imperfect examples, in R.R. Yager and J. Kacprzyk (Eds.), :The Ordered Weighted Averaging Operators: Theory and Applications, Kluwer, Boston, 1997, pp. 312 – 329.
   193. J. Kacprzyk and S. Zadrożny, On the use of fuzzy majority for supporting consensus reaching under fuzziness, Proceedings of FUZZ-IEEE’97 – Sixth IEEE International Conference on Fuzzy Systems (Barcelona, Spain), Vol. III, pp. 1683 – 1988, 1997.
   194. J. Kacprzyk and S. Zadrożny, Fuzzy querying for Microsoft Access via OWA operators, Proceedings of IFSA’97 – Seventh International Fuzzy Systems Association World Congress (Prague, Czech Rep.), Academia, Prague, Vol. II, pp. 198 – 203, 1997.
   195. J. Kacprzyk, Multistage control of a stochastic system under fuzzy goals and constraints using a genetic algorithm, Proceedings of IFSA’97 – Seventh International Fuzzy Systems Association World Congress (Prague, Czech Rep.), Academia, Prague, Vol. II, pp. 306 – 311, 1997.
   196. J. Kacprzyk and S. Zadrożny, A fuzzy querying interface for a WWW environment, Proceedings of IFSA’97 – Seventh International Fuzzy Systems Association World Congress (Prague, Czech Rep.), Academia, Prague, Vol. IV, pp. 285 – 290, 1997.
   197. J. Zadrożny, J. Kacprzyk and K. Floisand, Internet and WWW – new opportunities for information technology and soft computing, Proceedings of IFSA’97 – Seventh International Fuzzy Systems Association World Congress (Prague, Czech Rep.), Academia, Prague, Vol. IV, pp. 316 – 319, 1997.
   198. W. Dobrzyński W., Kacprzyk J. and S. Zadrożny, An example of fuzzy querying using Microsoft’ Active Server Pages tools, Proceedings of Fifth European Congress on Intelligent Techniques and Soft Computing – EUFIT’97 (Aachen, Germany), vol. 2, pp. 1181-1185, 1997.
   199. J. Kacprzyk and S. Zadrożny, Issues and solutions for fuzzy database querying over Internet, Proceedings of Fifth European Congress on Intelligent Techniques and Soft Computing – EUFIT’97 (Aachen, Germany), vol. 2, pp. 1191-1195, 1997.
   200. J. Kacprzyk and S. Zadrożny, Fuzzy queries in Microsoft Access v. 2, in D. Dubois, H. Prade and R.R. Yager (Eds.): Fuzzy Information Engineering – A Guided Tour of Applications, Wiley, New York, pp. 223 – 232, 1997.
   201. J. Kacprzyk and S. Zadrożny, Implementation of OWA operators in fuzzy querying for Microsoft Access, in R.R. Yager and J. Kacprzyk (Eds.): The Ordered Weighted Averaging Operators: Theory and Applications, Kluwer, Boston, pp. 293 – 306, 1997.
   202. J. Kacprzyk and S. Zadrożny, Flexible querying using fuzzy logic: An implementation for Microsoft Access, in T. Andreasen, H. Christiansen and H.L. Larsen (eds.): Flexible Query Answering Systems, Kluwer, Boston, pp. 247-275, 1997.
   203. J. Kacprzyk, A genetic algorithm for the multistage control of a fuzzy system in a fuzzy environment, Mathware & Soft Computing, vol. IV, n. 3, pp. 219 – 232, 1997.
   204. J. Kacprzyk and G. Szkatuła, An improved inductive learning algorithm with a preanalysis od data, in Z.W. Raś and A. Skowron (eds.): Foundations of Intelligent Systems (Proceedings of 10th ISMIS’97 Symposium, Charlotte, NC, USA), Springer-Verlag, Berlin, pp. 157 – 166, 1997.
   205. J. Kacprzyk and G. Szkatuła, Deriving IF-THEN rules for intelligent decision support via inductive learning. In N.Kasabov et al. (Eds.): Progress in Connectionist-Based Information Systems (Proceedings of ICONIP’97, ANZIIS’97 and ANNES’97 Conference, Dunedin, New Zealand), 1997, vol. 2, pp. 818 – 821.
   206. K.Ch. Patra, B.B. Pati and Kacprzyk J. Signal stabilisation of two dimensional non linear relay control systems. Archives of Control Sciences. Vol. 6, No.1/2, pp. 89-101, 1997.
   207. S. Zadrożny and J. Kacprzyk, Implementing fuzzy querying via the Internet/WWIN: Java applets, ActiveX controls and cookies, in T. Andreassen, H. Christiansen and H.L. Larsen (eds.): Flexible Query Answering Systems – Proceedings of the FQAS’98 Workshop (Roskilde, Denmark), Datalogiske Skrifter, Roskilde Universitetscenter, pp. 358 – 369, 1998.
   208. E. Szmidt and J. Kacprzyk, Group decision making under intuitionistic fuzzy preference relations, Proceedings of Seventh International Conference in Information Processing and Management of Uncertainty in Knowledge – Based Systems (IPMU’98), Paris, 1998, pp. 172 – 178.
   209. J. Kacprzyk and S. Zadrożny, Issues in the implementation of fuzzy queries over the Internet/WWW, Proceedings of Seventh International Conference in Information Processing and Management of Uncertainty in Knowledge – Based Systems (IPMU’98), Paris, 1998, pp. 1510 – 1517.
   210. J. Kacprzyk and H. Nurmi, Group decision making under fuzziness, in R. Słowiński (ed.): Fuzzy Sets in Decision Analysis, Operations Research and Statistics, Kluwer, Boston, 1998, pp. 103 – 136.
   211. A.O. Esogbue and J. Kacprzyk, Fuzzy dynamic programming, in R. Słowiński (ed.): Fuzzy Sets in Decision Analysis, Operations Research and Statistics, Kluwer, Boston, 1998, pp. 281 – 307.
   212. E. Szmidt and J. Kacprzyk, A fuzzy set corresponding to an intuitionistic fuzzy set, International Journal of Uncertainty, Fuziness and Knowldge – Based Systems, vol. 6, no 5, pp. 427 – 435, 1998.
   213. M. Fedrizzi i J. Kacprzyk, A brief introduction to fuzzy sets and fuzzy systems, In J. Cardoso i H. Camargo (eds.): Fuzziness in Petri Nets, Physica-Verlag (Springer-Verlag), Heidelberg and New York, 1998, str. 25 – 51.
   214. R. Ramer, T.C. Neo and J. Kacprzyk:, Computer Aided Learning of Semiconductor Devices, In Z. Pudłowski (ed.): Proceedings of The Global Conference on Engineering Education (Crakow Poland, September 1998), Faculty of Engineering, Monash University, Clayton, Victoria, Australia, pp. 137-140.
   215. J. Kacprzyk, Including socio-economic aspects in a fuzzy multistage decision making model of regional development planning, in L. Reznik, V. Dimitrov and J. Kacprzyk (eds.): Fuzzy Systems Design, Physica-Verlag (Springer-Verlag), Heidelberg and New York, 1998, str. 86 – 102.
   216. J. Kacprzyk, F5.2 Optimization, in E.H. Ruspini, P.P. Bonissone and W. Pedrycz (Eds.): Handbook of Fuzzy Computation, Institute of Physics Publishing, Bristol and Philadelphia, 1998, pp. F5.2:1 – 20,
   217. J. Kacprzyk, Roseli A. Romero and F.A.C. Gomide, Involving objective and subjective aspects in multistage decision making and control under fuzziness: dynamic programming and neural networks, International Journal of Intelligent Systems, vol. 14, no 1, pp. 79 – 104, 1999.
   218. E. Szmidt and J. Kacprzyk, Intuitionistic Fuzzy Linguistic Quantifiers. Notes on Intuitionistic Fuzzy Sets, Vol.3, No. pp. 111-122, 1998.
   219. E. Szmidt E. and J. Kacprzyk, Intuitionistic Fuzzy Set Theory and Mass Assignment Theory: Some relations. Notes on Intuitionistic Fuzzy Sets, Vol.4, No. pp. 1-7, 1998.
   220. E. Szmidt and J. Kacprzyk , Applications of Intuitionistic Fuzzy Sets in Decision Making. Proceedings of the Congreso EUSFLAT’98 (Pamplona, Univ. de Navarra), pp. 150-158, 1998.
   221. J. Kacprzyk and G. Szkatuła, IP1 – An Improved Inductive Learning Procedure with a Preprocessing of Data, in L. Xu, L.W. Chan, I. King and A. Fu (eds.): Intelligent Data Engineering and Learning. Perspectives on Financial Engineering and Data Mining (Proceedings of IDEAL’98, Hong Kong), Springer, Hong Kong, pp. 385-392, 1998.
   222. J. Kacprzyk, Multistage Control of a Stochastic System in a Fuzzy Environment Using a Genetic Algorithm, International Journal of Intelligent Systems, vol. 13, pp.1011-1023, 1998.
   223. J. Kacprzyk J. and L.F. Sugianto, Multistage Fuzzy Control Involving Objective and Subjective Aspects, Proceedings of the 2nd International Conference on Knowledge-Based Intelligent Electronic Systems KES’98 (Adelaide, Australia), pp. 564-573, 1998.
   224. L.F. Sugianto and J. Kacprzyk, Linguistic Expression in Decision Making with Data Uncertainty, in M.H. Hamza (Ed.): Proceedings of the IASTED International Conference on Artificial Intelligence and Soft Computing (Cancun, Mexico), 1998, pp. 98-101.
   225. J. Kacprzyk, Including Socioeconomic Aspects in a Fuzzy Multistage Decision Making Model of Regional Development Planning, in L. Reznik, V. Dimitrov and J. Kacprzyk (Ed.): Fuzzy Systems Design: Social and Engineering Applications, Physica-Verlag, Heidelberg and New York, 1998, pp. 86 – 102.
   226. J. Kacprzyk and S. Zadrożny, Data Mining via Linguistic Summaries of Data: An Interactive Approach, in T. Yamakawa and G. Matsumoto (eds.): Methodologies for the Conception, Design and Application of Soft Computing (Proceedings of the 5th International Conference on Soft Computing and Information/Intelligent Systems – IIZUKA’98), Iizuka, Japan, 1998, World Scientific, Singapore,pp. 668-671.
   227. J. Kacprzyk and S. Zadrożny, On sumarization of large datasets via a fuzzy-logic-based querying add-on to Microsoft Access, in: Intelligent Information Systems VII (Proceedings of the Workshop held in Malbork, Poland), IPI PAN, Warsaw, 1998, pp.249-258.
   228. A. Shannon., D. Iliev, E. Szmidt, H. Aladjov, H. Bustince, J. Kacprzyk, J. Sorsich, K. Atanassov, N. Nikolov, P. Georgiev and V. Radeva, Generalized Net Model of Health Unit Activities. (Proceedings of the 2nd Int. Conference on Intuitionistic Fuzzy Sets ICIFS’98 – Sofia, Bulgaria), Notes on Intuitionistic Fuzzy Sets, Vol. 4, No.3, 1998, pp. 79-84.
   229. P. Georgiev, J. Kacprzyk, E. Szmidt and H. Aladjov, Generalized Net Models in Internal Medicine (GNGIM119: Hepatitis exposure). Proceedings of the Conference Bioprocess Systems’ (Sofia, Bulgaria), 1998, pp. VII.20-VII.22.
   230. P. Georgiev, J. Kacprzyk, E. Szmidt and H. Aladjov, Generalized Net Models in Internal Medicine (GNGIM126: Renal Cysts and Masses). Proceedings of the Conference Bioprocess Systems’ (Sofia, Bulgaria), 1998, pp. VII.23-VII.25.
   231. P. Georgiev, J. Kacprzyk, E. Szmidt and H. Aladjov, Generalized Net Models in Internal Medicine (GNGIM131: Hypokalemia and GNGIM132: Hyperkalemia). Proceedings of the Conference Bioprocess Systems’ (Sofia, Bulgaria), 1998, pp. VII.26-VII.28.
   232. J. Kacprzyk, Fuzzy dynamic programming and approximate reasoning (in Polish), Problems of Automatic Control and Computer Science. Ossolineum, Wrocław, 1998, pp. 163 – 175.
   233. J. Kacprzyk and S. Zadrożny, The paradigm of computing with words in intelligent database querying. In: L.A. Zadeh and J. Kacprzyk (Eds.): Computing with Words in Information/Intelligent Systems. Part 2, Foundations. Physica-Verlag, Heidelberg and New York, 1999, pp. 382 –398.
   234. J. Kacprzyk, H. Nurmi and M. Fedrizzi, Group Decision Making and a Measure of Consensus under Fuzzy Preferences and a Fuzzy Linguistic Majority, In: LA. Zadeh and J. Kacprzyk (Eds.): Computing with Words in Information/Intelligent Systems. Part Foundations. Physica-Verlag, Heidelberg and New York, 1999, pp. 233 – 243.
   235. J. Kacprzyk and S. Zadrożny, On interactive linguistic summarization of databases via a fuzzy-logic-based querying add-on to Microsoft Access, In B. Reusch (Ed.): Computational Intelligence – Theory and Applications (Proceedings of 6th Fuzzy Days, Dortmund, May, 1999). Springer, Berlin, 1999, pp. 462-472.
   236. J. Kacprzyk and P. Strykowski, Linguistic data summaries for intelligent decision support, Proceedings of EFDAN’99 – 4th European Workshop on Fuzzy Decision Analysis and Recognition Technology for Management, Planning and Optimization (Dortmund, June, 1999), 1999, pp. 3 – 12.
   237. J. Kacprzyk, An interactive fuzzy logic approach to linguistic data summaries, In R.N. Dave and T. Sudkamp (Eds.), Proceedings of NAFIPS’99 – 18th International Conference of the North American Fuzzy Information Processing Society. IEEE Press, Piscataway, NJ, 1999, pp. 595 – 599.
   238. J. Kacprzyk and S. Zadrożny, Fuzzy querying via WWIN: implementational issues. Proceedings of FUZZ-IEEE’99 – International Fuzzy Systems Conference (Seoul, Korea), IEEE, 1999, pp. 603-608.
   239. E. Szmidt and J. Kacprzyk, Intuitionistic fuzzy sets in group decision making (in Polish). In: Preference Modelling and Risk’99 (Modelowanie Preferencji a Ryzyko’99), Ustroń, Wydawnictwo Uczelniane Akademii Ekonomicznej im. Karola Adamieckiego w Katowicach, 1999, pp. 385-397.
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   241. Szmidt, E. and Kacprzyk, J, (1999) Probability of intuitionistic fuzzy events and their applications in decision making. Proc. of EUSFLAT-ESTYLF, Palma de Mallorca, Spain, 1999, pp.457-460.
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   324. J. Kacprzyk: Towards perception-based fuzzy modelling: an extended multistage fuzzy control model and its use in sustainable regional development planning. In. P. Sinčak, J. Vaščak and K. Hirota (Eds.): Machine Intelligence – Quo Vadis?. World Scientific, Singapore, 2004, 301-337.
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   342. J. Kacprzyk, Szkatuła G.: A softened formulation of inductive learning and its use for coronary disease data. LNAI 3488, Springer Verlag, Berlin, 2005, pp. 200-209.
   343. J. Kacprzyk J., Szkatuła G.: An Inductive Learning Algorithm with a Partial Completeness and Consistence via a Modified Set Covering Problem. LNCS 3697,Springer Verlag, Berlin, 2005, pp. 661-666.
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   347. J. Kacprzyk J., Zadrożny S.: Towards more powerful information technology via computing with words and perceptions: precisiated natural language, protoforms and linguistic data summaries. In: Nikravesh M., Zadeh L.A., Kacprzyk J. (Eds.): Soft computing for information processing and analysis. Springer Verlag, Berlin Heidelberg New York, 2005, pp. 19-33.
   348. G. Szkatuła G., Kacprzyk J.: An Inductive Learning Algorithm with a Partial Completeness and Consistency. In: M. Draminski, P. Grzegorzewski, K. Trojanowski, S. Zadrozny (Eds.): Issues in Intelligent Systems, Models and Techniques. Akademicka Oficyna Wydawnicza Exit, Warsaw 2005, pp. 229-246.
   349. E. Szmidt E., Kacprzyk J.: A New Concept of a Similarity Measure for Intuitionistic Fuzzy Sets and its Use in Group Decision Making. Springer Verlag, Berlin, LNCS 3558, 2005, pp. 272-282.
   350. E. Szmidt E., Kacprzyk J.: A new Similarity Measure for Intuitionistic Fuzzy Sets and its use in Supporting a Medical Diagnosis. Notes on Intuitionistic Fuzzy Sets, vol. 11, No. 4, 2005, pp. 130-138.
   351. E. Szmidt E., Kacprzyk J.: Distances Between Intuitionistic Fuzzy Sets and their Applications in Reasoning. Studies in Computational Intelligence, vol. 2, 2005, pp. 101-120.
   352. E. Szmidt, Kacprzyk J.: New Measures of Entropy for Intuitionistic Fuzzy Sets. Notes on Intuitionistic Fuzzy Sets, vol. 11, No. 2, 2005, pp. 12-20.
   353. E. Szmidt, Kacprzyk J.: Similarity Measures for Intuitionistic Fuzzy Sets. In: K. T. Atanassov, J. Kacprzyk, M. Krawczak, E. Szmidt (Eds.): Issues in the Repressentation and Processing of Uncertain and Imprecise Information. EXIT, Warsaw 2005, pp. 355-372.
   354. V. Taseva, Szmidt E., Kacprzyk J.: On one of the Geometrical Interpretations of Intuitionistic Fuzzy Sets. Notes on Intuitionistic Fuzzy Sets, vol. 11, No. 2, 2005, pp. 21-27.
   355. S. Zadrożny S., Kacprzyk J., Gola M.: Towards human friendly data mining: linguistic data summaries and their protoforms. LNCS 3697, Springer, Berlin, 2005, pp. 697-702.
   356. F. Berzal, Cubero J., Kacprzyk J., Marin N., Vila M., Zadrożny S.: Computing with words using metadata-based programming. In: IFSA’2005 – Fuzzy Logic, Soft Computing and Computational Intelligence, Beijing, China, July 28-31, 2005, Tsinghua University Press/Springer, pp. 628-634.
   357. K. Bieniek, Gola M., Kacprzyk J., Zadrożny S.: An approach to use possibility theory in information retrieval. In: Proceedings of FUZZY’2005, Zittau, Germany, 2005, pp. 192-196.
   358. G De Tre, De Caluwe R., Kacprzyk J., Zadrożny S.: On flexible database querying via extensions to fuzzy sets. In: Proceedings of 4th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2005), Barcelona, Spain, pp. 1225-1230.
   359. J. Kacprzyk: Optimal policies in multistage fuzzy control: information granulation and interpolative reasoning. In: Proceedings of GrC 2005 – The 2005 IEEE International Conference on Granular Computing, Beijing, China, 2005, IEEE, pp. 1-6.
   360. J. Kacprzyk, Zadrożny S.: Protoforms of linguistic database summaries as a tool for human-consistent data mining. In: Proceedings of 14th Annual IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2005), Reno, NV, USA, 2005, IEEE, pp. 591-596.
   361. J. Kacprzyk, Zadrożny S.: Supporting consensus reaching in a group via fuzzy linguistic data summaries. In: IFSA’2005 World Congress – Fuzzy Logic, Soft Computing and Computational Intelligence, Beijing, China, 2005, Tsinghua University Press/Springer, pp. 1746-1751.
   362. E. Szmidt, Kacprzyk J.: A new measure of entropy and its connection with a similarity measure for intuitionistic fuzzy sets. In: Proceedings of 4th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2005), Barcelona, Spain, 2005, pp. 461-466.
   363. S. Zadrożny, Kacprzyk J.: An extended fuzzy Boolean model of information retrieval revisited. In: Proceedings of 14th Annual IEEE International Conference on FUZZY Systems (FUZZ-IEEE 2005), Reno, NV, USA, 2005, IEEE, pp. 1020-1025.
   364. D. Dubois, Gottwald S., Hajek P., Kacprzyk J., Prade H.: Terminological difficulties in fuzzy set theory – the case of intuitionistic fuzzy sets. Fuzzy Sets and Systems, vol. 156, No. 3, 2005, pp. 485-491.
   365. Atanasova L., Nikolova M., Kacprzyk J.: Generalized net model of thermochemical decomposition of phosphogypsum to lime and sulphur dioxide with preliminarily prepared reducing gas. In: Atanassov K., Kacprzyk J., Krawczak M., Szmidt E. (Eds.): Issues in intuitionistic fuzzy sets and generalized nets. Vol. 3. WIT, Warsaw 2006, pp. 41-48.
   366. Atanassov K., Szmidt E., Kacprzyk J.: A generalized net describing a process of decision making with intuitionistic fuzzy expert scores. Notes on Intuitionistic Fuzzy Sets, vol. 12, No. 3, 2006, pp. 15-19.
   367. Kacprzyk J., Nowacka K., Zadrożny S.: A possibilistic-logic-based information retrieval model with various term-weighting approaches. , LNAI 4029, Springer Verlag, Berlin2006, pp. 1120-1129.
   368. Kacprzyk J., Wilbik A., Zadrożny S.: A linguistic approach to a human-consistent summarization of tme series using a SOM learned with a LVQ-type algorithm. LNCS 4132, Springer Verlag, Berlin, 2006, pp. 171-180.
   369. Kacprzyk J., Wilbik A., Zadrożny S.: A linguistic quantifier based aggregation for a human consistent summarization of time series. In: J. Lawry, E. Miranda, A. Bugarin, S. Li, M. A. Gil, P. Grzegorzewski, O. Hryniewicz (Eds.): Soft Methods for Integrated Uncertainty Modeling. Springer-Verlag, Berlin Heidelberg 2006, pp. 183-190.
   370. Kacprzyk J., Zadrożny S.: Towards human-consitstent data-driven decision support systems via fuzzy linguistic data summries. In: Kacprzyk J., Budziński R. (Eds.): Badania Operacyjne i Systemowe 2006. Metody i techniki. Akademicka Oficyna Wydawnicza EXIT, Warsaw 2006, pp. 41-56.
   371. Kacprzyk J., Zadrożny S., Wilbik A.: Linguistic summarization of some static and dynamic features of consensus reaching. In: B. Reusch (Ed.): Computational Intelligence, Theory and Applications. Springer-Verlag, Berlin Heidelberg 2006, pp. 19-28.
   372. Kolev B., Marinov M., Kacprzyk J.: Cyclomatic complexity for generalized nets. In: Atanassov K., Kacprzyk J., Krawczak M., Szmidt E. (Eds.): Issues in intuitionistic fuzzy sets and generalized nets. Vol. WIT, Warsaw 2006, pp. 17-21.
   373. A Rosado A., Ribeiro R., Zadrożny S., Kacprzyk J.: Flexible query languages for relational databases: an overview. In: Bordogna G., Psaila G, (Eds.): Flexible databases supporting imprecision and uncertainty. Springer Verlag, 2006, pp. 3-53.
   374. Szmidt E., Kacprzyk J.: An application of intuitionistic fuzzy set similarity measures to a multi-criteria decision making problem. Springer Verlag, Berlin, LNAI 4029, 2006, pp. 314-323.
   375. Szmidt E., Kacprzyk J.: Classification with nominal data using intuitionistic fuzzy sets. Notes on Intuitionistic Fuzzy Sets, vol. 12, No. 3, 2006, pp. 1-14.
   376. Zadrożny S., Kacprzyk J.: On Tuning OWA Operators in a Flexible Querying Interface. LNAI 4027, Springer Verlag, Berlin, 2006, pp. 97-108.
   377. Kacprzyk J., Wilbik A., Zadrożny S.: Capturing the essence of a dynamic behavior of sequences of numerical data using elements of a quasi-natural language. In: Proceedings of 2006 IEEE International Conference on Systems, Man, and Cybernetics, Taipei, Taiwan, 2006, IEEE Press, pp. 3365-3370.
   378. Kacprzyk J., Wilbik A., Zadrożny S.: Linguistic summaries of time series via a quantifier based aggregation using the sugeno integral. In: Proceedings of WCCI 2006 – The 2006 IEEE World Congress on Computational Intelligence, Vancouver, BC, Canada, July 16-21, 2006, IEEE Press, pp. 3610-3616.
   379. Kacprzyk J., Wilbik A., Zadrożny S.: Linguistic summarization of trends: a fuzzy logic based approach. In: Proceedings of the conference: 11th International Conference Information Processing and Management of Uncertainty in Knowledge-based Systems – IPMU 2006, Paris, France, 2006, EDK – Editions Medicales et Scientifiques, pp. 2166-2172.
   380. Kacprzyk J., Wilbik A., Zadrożny S.: On some types of linguistic summaries of time series. In: Proceedings of 3rd International IEEE Conference on Intelligent Systems, London, UK, 2006, IEEE Press, pp. 373-378.
   381. Kacprzyk J., Wilbik A., Zadrożny S.: Using a genetic algorithm to derive a lnguistic summary of trends in numerical time series. In: Proceedings of 2006 International Symposium on Evolving Fuzzy Systems, Ambleside, UK, 2006, IEEE Press, pp. 137-142.
   382. Szmidt E., Kacprzyk J.: A model of case-based reasoning using intuitionistic fuzzy sets. In: Proceedings of WCCI 2006 – The 2006 IEEE World Congress on Computational Intelligence, Vancouver, BC, Canada, 2006, IEEE Press, pp. 8428-8435.
   383. Szmidt E., Kacprzyk J.: Distances between intuitionistic fuzzy sets: straightforward approaches may not work. In: Proceedings of 3rd International IEEE Conference Intelligent Systems, London, UK, 2006, IEEE Press, pp. 716-721.
   384. Szmidt E., Kacprzyk J.: Entropy and similarity of intuitionistic fuzzy sets. In: Proceedings of 11th International Conference Information Processing and Management of Uncertainty in Knowledge-based Systems – IPMU 2006, Paris, France, 2006, EDK – Editions Medicales et Scientifiques, pp. 2375-2382.
   385. Zadrożny S., Kacprzyk J.: Bipolar queries and queries with preferences (invited paper). In: Proceedings of 17th International Conference on Database and Expert Systems Applications (DEXA’06), Krakow, Poland, 2006, IEEE Computer Society, pp. 415-419.
   386. Zadrożny S., Nowacka K., Kacprzyk J.: A concept of a possibilistic logic based information retrieval model. In: Proceedings of 11th International Conference Information Processing and Management of Uncertainty in Knowledge-based Systems – IPMU 2006, Paris, France, 2006, EDK – Editions Medicales et Scientifiques, pp. 992-999.
   387. Kacprzyk J., Angelova M., Vassiliev P., Taseva V., Tchesmedjiev P., Pajeva I., Atanassov K.: On the Modelling of Genetic Networks with Generalized Nets. In: Atanassov K., Kacprzyk J., Krawczak M, Szmidt E. (Eds.): Issues in Intuitionistic Fuzzy Sets and Generalized Nets. Warsaw School of Information Technology, Warsaw 2007, pp. 87-96.
   388. Kacprzyk J., Wilbik A., Zadrożny S.: Linguistic summarization of time series by using the Choquet integral. LNAI 4529, 2007, pp. 284-294.
   389. Kacprzyk J., Wilbik A., Zadrożny S.: Linguistic summarization of time series under different granulation of describing features. LNAI 4585, Springer Verlag, Heidelberg Berlin, 2007, pp. 230-240.
   390. Kacprzyk J., Zadrożny S.: Computing with words for text categorization. In: Koehler R., Mehler A. (Eds.): Aspects of Automatic Text Analysis. Springer, Heidelberg, 2007, pp. 339-362.
   391. Kacprzyk J., Zadrożny S.: Towards human-consistent data-driven decision support systems via fuzzy linguistic data summaries. In: Batyrshin J., Kacprzyk J., Sheremetov L., Zadeh L.A. (Eds.): Perception-based Data Mining and Ddecision Making in Economics and Finance. Springer, Heidelberg, 2007, pp. 37-54.
   392. Kacprzyk J., Zadrożny S., Wilbik A.: On linguistic summaries of time series using a fuzzy quantifier based aggregation via the Sugeno integral. In: O. Castillo, P. Melin, J. Kacprzyk, W. Pedrycz (Eds.): Hybrid Intelligent Systems – Analysis and Design. Springer, Berlin Heidelberg, 2007, pp. 415-433.
   393. Nurmi H., Kacprzyk J.: Fuzzy sets in political science: an overview. New Mathematics and Natural Computation, vol. 3, No. 3, 2007, pp. 281-299.
   394. Nurmi H., Kacprzyk J.: Political representation: perspective from fuzzy systems theory. New Mathematics and Natural Computation, vol. 3, No. 2, 2007, pp. 153-163.
   395. Szmidt E., Kacprzyk J.: Classification with nominal data using intuitionistic fuzzy sets. LNAI 4529, Springer, Heidelberg, 2007, pp. 76-85.
   396. Szmidt E., Kacprzyk J.: Some problems with entropy measures for the Atanassov intuitionistic fuzzy sets. LNAI 4578, Springer, Heidelberg, 2007, pp. 291-297.
   397. Szmidt E., Kacprzyk J.: Two and three parameter representation of intuitionistic fuzzy sets in the context of entropy and similaruty. Notes on Intuitionistic Fuzzy Sets, vol. 13, No. 2, 2007, pp. 8-17.
   398. Todorova L., Atanassov K., Szmidt E., Kacprzyk J.: Intuitionistic fuzzy generalized net for decision making with Voronoi’s diagrams. In: K. Atanassov, J. Kacprzyk, M. Krawczak, E. Szmidt (Eds.): Issues in intuitionistic fuzzy sets and generalized nets, Volume WIT, Warsaw 2007, pp. 15-26.
   399. Zadrożny S., Kacprzyk J.: Bipolar queries using various interpretations of logical connectives. LNCS 4529, Springer, Heidelberg, 2007, pp. 181-190.
   400. Zadrożny S., Kacprzyk J.: Dealing with textual documents in corporate applications: text categorization using fuzzy linguistic summaries. J. Kacprzyk (Ed.): Studies&Proceedings. Polish Association for Knowledge Management. No. 9., pp. 125-133.
   401. Kacprzyk J., Wilbik A., Zadrożny S.: Analysis of time series via their linguistic summarization: the use of the Sugeno integral. In: Proceedings of the ISDA 2007 – 7th Int. Conference on Intelligent Systems Design and Applications, Rio de Janeiro, Brazil, IEEE Press, 2007, pp. 262-267.
   402. Kacprzyk J., Wilbik A., Zadrożny S.: Linguistic summaries of time series via an OWA operator based aggregation of partial trends. In: Proceedings of FUZZ-IEEE 2007 – 2007 IEEE Conference on Fuzzy Systems, London, UK, IEEE Press, 2007, pp. 467-472.
   403. Kacprzyk J., Wilbik A., Zadrożny S.: Mining time series data via linguistic summaries of trends by using a modified Sugeno integral based aggregation. In: Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining, Honolulu, USA, 2007, IEEE Press, pp. 742-749.
   404. Szmidt E., Kacprzyk J.: A new similarity measure for intuitionistic fuzzy sets: straightforward approaches may not work. In: Proceedings of FUZZ-IEEE 2007 – 2007 IEEE Conference on Fuzzy Systems, London, UK, IEEE Presss, 2007, pp. 481-486.
   405. Zadrożny S., Kacprzyk J.: Summarizing the contents of web server logs: a fuzzy linguistic approach. In: 2007 Aggregation of Partial Trends. In: Proceedings of FUZZ-IEEE 2007 – 2007 IEEE Conference on Fuzzy Systems, London, UK, IEEE Presss, 2007, pp. 100-105.
   406. Berzal F., Cubero J., Marin N., Vila M., Kacprzyk J., Zadrożny S.: A General Framework for Computing with Words in Object-Oriented Programming. International Journal of Uncertainty, Fuzziness and Knowledge Based Systems, vol. 15, No. 1, 2008, pp. 111-131.
   407. Zadrożny S., De Tre G., Kacprzyk J.: On some approaches to possibilistic bipolar data modelling in databases. Ii: Atanassov, K., T., Hryniewicz, O., Kacprzyk, J., Krawczak, M., Nahorski, Z., Szmidt, E., Zadrożny, S. (Eds.): Advances in Fuzzy Sets, Intuitionistics Fuzzy Sets, Generalized Nets and Related Topics. EXIT, Warsaw 2008, pp. 197-220.
   408. Kacprzyk J., Wilbik A.: A new insight into the linguistic summarization of time series via a degree of support: Elimination of infrequent patterns. In: Dubois D., Lubiano M.A., Prade H., Gil M.A., Grzegorzewski P., Hryniewicz O. (Eds.): Soft Methods for Handling Variability and Imprecision. Springer-Verlag, Berlin 2008, pp. 393-400.
   409. Kacprzyk J., Wilbik A.: Linguistic summarization of time series using fuzzy logic with linguistic quantifiers: a truth and specificity based approach. In: L. Rutkowski, R. Tadeusiewicz. L. Zadeh, J. Żurada (Eds.): Artificial Intelligence and Soft Computing – ICAISC LNAI 5097, Springer Verlag, Heidelberg, pp. 241-252.
   410. Kacprzyk J., Wilbik A., Zadrożny S.: Linguistic summarization of time series using a fuzzy quantifier driven aggregation. Fuzzy Sets and Systems, vol. 159, No. 12, 2008, pp. 1485-1499.
   411. Kacprzyk J., Wilbik A., Zadrożny S.: On linguistic summarization of numerical time series using fuzzy logic with linguistic quantifiers. In: P. Chountas, I. Petrounias, J. Kacprzyk (Eds.): Intelligent Techniques and Tools for Novel System Architectures. Springer, Berlin Heidelberg 2008, pp. 169-184.
   412. Kacprzyk J., Wilbik A., Zadrożny S.: On linguistic summarization of time series using fuzzy logic with linguistic quantifiers. In: Bouchon-Meunier B., Marsala Ch., Rifqi M., Yager R.R. (Eds.): Uncertainty and intelligent information systems. World Scientific, Singapore 2008, pp. 169-186.
   413. Kacprzyk J., Wilbik A., Zadrożny S.: Towards human consistent linguistic summarization of time series via computing with words and perceptions. In: M. Nikravesh, J. Kacprzyk, L.A. Zadeh (Eds.): Forging New Frontiers: Fuzzy Pioneers I. Springer Verlag, Berlin Heidelberg 2007, pp. 17-35.
   414. Kacprzyk J., Zadrożny S.: On a concept of a consensus reaching process support system based on the use of soft computing and Web techniques. In: D. Ruan, J. Montero, J. Lu, L. Martínez, P. D’hondt, E.E. Kerre (Eds.): Computational Intelligence in Decision and Control. World Scientific, Singapore, 2008, pp. 859-864.
   415. Kacprzyk J., Zadrożny S., Fedrizzi M., Nurmi H.: On group decision making, consensus reaching, voting and voting paradoxes under fuzzy preferences and a fuzzy majority: a survey and a granulation perspective. In: Pedrycz, W., Skowron, A., Kreinovich, V. (Eds.): Handbook of Granular Computing. Wiley, Chichester 2008, pp. 906-929.
   416. Kacprzyk J., Zadrożny S., Fedrizzi M., Nurmi H.: On group decision making, consensus reaching, voting and voting paradoxes under fuzzy preferences and a fuzzy majority: a survey and some perspectives. In: Bustince H., Herrera F., Montero J. (Eds.): Fuzzy Sets and Their Extensions: Representation, Aggregation and Models. Springer, Heidelberg, Berlin, 2008, pp. 263-295.
   417. Szmidt E., Kacprzyk J.: A new approach to ranking alternatives using intuitionistic fuzzy sets. In: D. Ruan, J. Montero, J. Lu, L. Martínez, P. D’hondt, E.E. Kerre (Eds.): Computational Intelligence in Decision and Control. World Scientific, Singapore, 2008, pp. 265-270.
   418. Szmidt E., Kacprzyk J.: Dilemmas with distances between intuitionistic fuzzy sets:. In: P. Chountas, I. Petrounias, J. Kacprzyk (Eds.): Intelligent Techniques and Tools for Novel System Architectures. Springer, Berlin Heidelberg, 2008, pp. 415-430.
   419. Szmidt E., Kacprzyk J.: Intuitionistic fuzzy sets – a prospective tool for text categorization. In: Atanassov K. , Chountas P., Kacprzyk J., et al.. (Eds.): Developments in fuzzy sets, intuitionistic fuzzysets, generalized nets and related topics. Applications. Volume II. EXIT; Warsaw, 2008, pp. 281-300.
   420. Szmidt E., Kacprzyk J.: Intuitionistic fuzzy sets as a promising tool for extended fuzzy decision making models. In: H. Bustince, F. Herrera and J. Montero (Eds.): Fuzzy Sets and Their Extensions: Representation, Aggregation and Models. Springer-Verlag, Berlin, 2008, pp. 330-355.
   421. Szmidt E., Kacprzyk J.: Ranking intuitionistic fuzzy alternatives. Notes on Intuitionistic Fuzzy Sets, vol. 14, No. 1, 2008, pp. 48-56.
   422. Szmidt E., Kacprzyk J.: Using intuitionistic fuzzy sets in text categorization. In: L. Rutkowski, R. Tadeusiewicz. L. Zadeh, J. Żurada (Eds.): Artificial Intelligence and Soft Computing – ICAISC
   423. LNAI 5097, Springer, Heidelberg, 2008, pp. 351-362.
   424. Zadrożny S., De Tre G., De Caluwe R., Kacprzyk J.: An overview of fuzzy approaches to flexible database querying. In: Galindo J. (Ed.): Handbook of Research on Fuzzy Information Processing in Databases. Idea Group, Hershey, USA, 2008, pp. 34-53.
   425. Kacprzyk J., Wilbik A.: An extended, specificity based approach to linguistic summarization of time series. In: proc. Of IPMU 2008, Information Processing and Management of Uncertainty in Knowledge-Based Systems, Malaga, Spain, 2008, pp. 551-559.
   426. Kacprzyk J., Wilbik A.: Linguistic summarization of time series using linguistic quantifiers: augmenting the analysis by a degree of fuzzinepp. In: Proceedings of WCCI -2008 The 2008 IEEE World Congress on Computational Intelligence, Hong Kong, 2008, pp. 1146-1153.
   427. Nowacka K., Zadrożny S., Kacprzyk J.: A new fuzzy logic based information retrieval model. In: Proc. IPMU 2008 Information Processing and Management of Uncertainty in Knowledge-Based Systems, Malaga, Spain, pp. 1749-1756.
   428. Nowacka K., Zadrożny S., Kacprzyk J.: An Experimental Comparison of Various Aggregation Operators in a Fuzzy Information Retrieval Model. In: Proceedings of NAFIPS 2008, New York, 2008, pp. 221-227.
   429. Szmidt E., Kacprzyk J.: Dealing with Typical Values by using Atanassov’s Intuitionistic Fuzzy Sets. In: Proceedings of WCCI 2008 The 2008 IEEE World Congress on Computational Intelligence, Hong Kong, 2008, pp. 955-965.
   430. Szmidt E., Kacprzyk J.: On Some Typical Values for Atanassov’s Intuitionistic Fuzzy Sets. IN: Proc. of the 4th International IEEE Conference on Intelligent Systems, Volumes I, II and III, Varna, Bulgaria, 2008, pp. 13-2-13-7.
   431. Wilbik A., Kacprzyk J.: On some issues of the measure of the length of the summary in linguistic data summaries. IN: Atanassov K.T., Hryniewicz O., Kacprzyk J., Krawczak M., Nahorski Z., Szmidt E., Zadrożny S. (Eds.): Advances in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. EXIT, Warsaw, 2008, pp. 175-185.
   432. Szmidt E., Kacprzyk J.: Ranking Alternatives Expressed via Atanassov’s Intuitionistic Fuzzy Sets. In: proc. IPMU 2008 Information Processing and Management of Uncertainty in Knowledge-Based Systems, Malaga, Spain, pp. 1604-1611.
   433. Zadrożny S., Kacprzyk J., Sobota G.: Avoiding Duplicate Records in a Database Using a Linguistic Quantifier Based Aggregation – A Practical Approach. In: Proceedings of WCCI-2008 The 2008 IEEE World Congress on Computational Intelligence, Hong Kong, 2008, pp. 2194-2201.
   434. Zadrożny S., Kacprzyk J., Nowacka K.: An approach to automatic text categorization using a fuzzy information retrieval model. In: Atanassov K., Bustince H., Hryniewicz O., et al.. (Eds.): Developments in fuzzy sets, intuitionistic fuzzy sets, generalized nets and related topics. Foundations. Volume I. EXIT; Warsaw, 2008, pp. 331-359.
   435. Atanassov K., Szmidt E., Kacprzyk J., Rangasamy P.: On intuitionistic fuzzy multi-dimensional sets. Part
   436. In: Atanassov, K., T., Hryniewicz, O., Kacprzyk, J., Krawczak, M., Nahorski, Z., Szmidt, E., Zadrożny, S. (Eds.): Advances in Fuzzy Sets, Intuitionistics Fuzzy Sets, Generalized Nets and Related Topics. EXIT, Warsaw 2008, pp. 43-51.
   437. Kacprzyk J.: Neuroeconomics: yet another field where rough sets can be useful? In: Chien-Vhung Chan, Jerzy W. Grzymała-Busse, Wojciech P. Ziarko (Eds.): Rough Sets and Currect Trends in Computing. LNAI 5306, Springer, Berlin, 2008, pp. 1-12.
   438. Szmidt E., Kacprzyk J.: A method for ranking alternatives expressed via Atanassov’s intuitionistic fuzzy sets. IN: Atanassov, K., T., Hryniewicz, O., Kacprzyk, J., Krawczak, M., Nahorski, Z., Szmidt, E., Zadrożny, S. (Eds.): Advances in Fuzzy Sets, Intuitionistics Fuzzy Sets, Generalized Nets and Related Topics. EXIT, Warsaw, 2008, pp. 161-173.
   439. Atanassov K., Szmidt E., Kacprzyk J.: On intuitionistic fuzzy multi-dimensional sets. In: K. Atanassov, J. Kacprzyk, M. Krawczak, E. Szmidt (Eds.): Issues in Intuitionistic Fuzzy Sets and Generalized Nets. Vol. 7. WIT, Warsaw 2008, pp. 1-6.
   440. Ban A., Kacprzyk J., Atanassov K.: On de-I-Fuzzification of Intuitionistic Fuzzy Sets. Comptes Rendue de l’Academie des Sciences de Bulgarie: Mathematiques, vol. 61, No. 12, 2008, pp. 1535-1540.
   441. Kacprzyk J., Zadrożny S.: Protoforms of linguistic database summaries as a human consistent tool for using natural language in data mining. International Journal of Software Science and Computational Intelligence, vol. 1, No. 1, 2009, pp. 100-111.
   442. Kacprzyk J., Zadrożny S.: Towards a general and unified characterization of individual and collective choice functions under fuzzy and nonfuzzy preferences and majority via the Ordered Weighted Average Operators. International Journal of Intelligent Systems, vol. 24, No. 1, 2009, pp. 4-26.
   443. Zadrożny S., Kacprzyk J.: On an interpretation of keywords weights in information retrieval: some fuzzy logic based approaches. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 17, No. 1, 2009, pp. 41-58.
   444. De Tre G., Zadrożny S., Matthe T., Kacprzyk J., Bronselaer A.: Dealing with Positive and Negative Query Criteria in Fuzzy Database Querying. LNCS 5822, Springer, Heidelberg, 2009, pp. 593-604.
   445. Zadrożny S., Kacprzyk J.: Issues in the practical use of the OWA operators in fuzzy querying. Journal of Intelligent Information Systems, vol. 33, No. 3, 2009, pp. 307-325.
   446. Kacprzyk J.: Fuzzy sets theory, foundations of. In: Robert A. Meyers (Ed.): Encyclopedia of Complexity and Systems Science. Springer, Heidelberg, 2009, pp. 4059-4080.
   447. Kacprzyk J., Zadrożny S.: Supporting decision making via verbalization of data analysis using linguistic data summaries. In: E. Rakus-Andersson, R. Yager, N. Ichalkaranje, L. Jain (Eds.): Recent Advances in Decision Making. Springer, Berlin Heidelberg 2009, pp. 121-143.
   448. Kacprzyk J., Zadrożny S., Nurmi H., Fedrizzi M.: Fuzzy preferences as a convenient tool in group decision making and a remedy for voting paradoxes. In: Rudolf Seising (Ed.): Views on Fuzzy Sets and Systems from Different Perspectives Philosophy and Logic, Criticisms and Applications. Springer-Verlag, Heidelberg 2009, pp. 345-360.
   449. Szmidt E., Kacprzyk J.: A note on the Hausdorff distance between Atanassov’s intuitionistic fuzzy sets. Notes on Intuitionistic Fuzzy Sets, vol. 15, No. 1, 2009, pp. 1-12.
   450. Szmidt E., Kacprzyk J.: Amount of information and its reliability in the ranking of Atanassov’s intuitionistic fuzzy alternatives. In: E. Rakus-Andersson, R. Yager, N. Ichalkaranje, L. Jain (Eds.): Recent Advances in Decision Making. Springer, Berlin Heidelberg 2009, pp. 7-19.
   451. Tzvetkov R., Szmidt E., Kacprzyk J.: A new similarity measure and new distances for intuitionistic fuzzy sets. Notes on Intuitionistic Fuzzy Sets, vol. 15, No. 4, 2009, pp. 33-39.
   452. Tzvetkov R., Szmidt E., Kacprzyk J.: On some issues related to the distances between Atanassov’s intuitionistic fuzzy sets. Cybernetics and Information Technologies, vol. 9, No. 2, 2009, pp. 54-61.
   453. Wilbik A., Kacprzyk J.: Linguistic summaries for the comparison of time series: an application to the analysis of investment fund quotations. In: Wilamowska Z., Borzemski L., Grzech A., Świątek J. (Eds.): Information Systems Architecture and Technology. Wrocław University of Technology, Wrocław 2009, pp. 139-148.
   454. Zadrożny S., Kacprzyk J.: Bipolar Queries: A Way to Enhance the Flexibility of Database Queries. In: Z.W. Raś and A. Dardzińska (Eds.): Advances in Data Management. Springer, Berlin Heidelberg 2009, pp. 49-66.
   455. Kacprzyk J., Wilbik A.: Linguistic summaries of time series using a degree of appropriateness as a measure of interestingnepp. In: Proceedings of ISDA-2009 The 9th International Conference on Intelligent Systems Design and Applications, Piza, 2009, IEEE CS Press, pp. 385-390.
   456. Kacprzyk J., Zadrożny S.: Data mining via protoform based linguistic summaries: some possible relations to natural ianguage generation. In: Proceedings of 2009 IEEE Symposium on Computational Intelligence and Data Mining, Nashville, USA, IEEE Press, pp. 217-224.
   457. Kacprzyk J., Zadrożny S., Raś Z.: Action rules in consensus reaching process support. In: Proceedings of ISDA-2009 The 9th International Conference on Intelligent Systems Design and Applications, Pisa, Italy, 2009, IEEE CS Press, pp. 827-832.
   458. Szmidt E., Kacprzyk J.: Analysis of similarity measures for Atanassov’s intuitionistic fuzzy sets. In: Proceedings of IFSA/EUSFLAT 2009, Lisbon, pp. 1416-1421.
   459. Szmidt E., Kacprzyk J.: Some remarks on the Hausdorff distance between Atanassov’s intuitionistic fuzzy sets. In: Proceedings of EUROFUSE’09.  Preference Modelling and Decision Analysis, Pamplona (Spain), Public University of Navarra, pp. 311-316.
   460. Wilbik A., Kacprzyk J.: Using fuzzy linguistic summaries for the comparison of time series: an application to the analysis of investment fund quotations. In: Proceedings of IFSA/EUSFLAT 2009, Lisbon, pp. 1321-1326.
   461. Zadrożny S., Kacprzyk J.: Bipolar queries: an approach and its various interpretations. In: Proceedings of IFSA/EUSFLAT 2009, Lisbon, pp. 1288-1293.
   462. Zadrożny S., Kacprzyk J., De Tre G.: A concept of bipolar queries in textual information retrieval. In: Proceedings of 2009 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, Milan, Italy, IEEE, pp. 175-178.
   463. Wilbik A., Kacprzyk J.: A multi-criteria evaluation of linguistic summaries of time series via a measure of informativenepp. In: Rutkowski L., Scherer R., Tadeusiewicz R., Zadeh L.A., Żurada J. (Eds): Artificial Intelligence and Soft Computing – ICAISC LNCS 6113, Springer, Heidelberg, 2010, pp. 105 – 113.
   464. Szmidt E., Kacprzyk J.: On an enhanced method for a more meaningful ranking of intuitionistic fuzzy alternatives. In: Rutkowski L., Scherer R., Tadeusiewicz R., Zadeh L.A., Żurada J. (Eds): Artificial Intelligence and Soft Computing – ICAISC LNCS 6113, Springer, Heidelberg, 2010, pp. 232 – 239.
   465. Szmidt E., Kacprzyk J.: The Spearman rank correlation coefficient between Intuitionistic fuzzy sets. In: Proc. of IS-2010 5th IEEE International Conference on Intelligent Systems, London, UK, IEEE Press, 2010, pp. 276 – 280.
   466. Jaworska T., Kacprzyk J., Zadrozny S.: On Dealing with Imprecise Information In a Content Based Image Retrieval System. In: Hüllermeier E., Kruse R., Hoffmann F. (Eds.): Computational Intelligence for Knowledge-Based Systems Design – 13th IPMU – 2010, Dortmund, Germany, LNCS 6178, Springer, Heidelberg, 2010, pp. 149 – 158.
   467. Szmidt E., Kacprzyk J.: Correlation of Intuitionistic Fuzzy Sets. In: Hüllermeier E., Kruse R., Hoffmann F. (Eds.): Computational Intelligence for Knowledge-Based Systems Design – 13th IPMU – 2010, Dortmund, Germany, LNCS 6178, Springer, Heidelberg, 2010, pp. 169 – 177.
   468. Kacprzyk J.,Sszkatuła G.: Inductive learning: a combinatorial optimization approach. In: Koronacki J., Raś Z.W., Wierzchoń S.T., Kacprzyk J. (Eds.): Advances In Machine Learining I: Dedicated to the Memory of Professor Ryszard S. Michalski. Springer, Heidelberg, 2010, pp. 75-93.
   469. Zadrożny S., Kacprzyk J.: Bipolar queries: a way to deal with mandatory and optional conditions in database querying. In: Kacprzyk J., Petry F.E., Yazici A. (Eds.): Uncertainty Approaches for Spatial Data Modeling: A Decision Support Perspective. Springer, Heidelberg, 2010, pp. 117 – 132.
   470. Kacprzyk J., Zadrożny S.: Soft computing and Web intelligence for supporting consensus reaching. Soft Computing, vol. 14, No. 8, 2010, pp. 833 – 846.
   471. Kacprzyk, J., Zadrożny, S.: Linguistic data summarization: a high scalability through the use of natural language? In: Laurent, A., Lesot, M.-J. (eds.) Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design. Information Science Reference, IGI Global, Hershey, 2010, pp. 214-237.
   472. Kacprzyk J., Zadrożny S.: Computing with words is an implementable paradigm: fuzzy queries, linguistic data summaries and natural language generation. IEEE Transactions on Fuzzy Systems, vol. 18, No. 3, 2010, pp. 461-472.
   473. Kacprzyk J., Wilbik A., Zadrożny S.: An approach to the linguistic summarization of time series using a fuzzy quantifier driven aggregation. International Journal of Intelligent Systems, vol. 25, No. 5, 2010, pp. 411-439.
   474. Kacprzyk J., Zadrożny S., Raś Z.W.: How to support consensus reaching using action rules: a novel approach. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 18, No. 4, 2010, pp. 451-470.
   475. Atanassov K., Szmidt E., Kacprzyk J.: On intuitionistic fuzzy multi-dimensional sets. Part Notes on Intuitionistic Fuzy Sets, vol. 17, No. 2, 2011,pp. 1-7.
   476. Kacprzyk J., Zadrożny S. (2010): Computing with words and systemic functional linguistics: linguistic data summaries and natural language generation. W: Huynh V.-N., Nakamori Y., Lawry J., Inuiguchi M. (Eds.): Integrated Uncertainty Management and Applications. Springer, Heidelberg, New York, pp. 23-36.
   477. Baczko T., Kacprzyk J., Zadrożny S.: Towards Knowledge Driven Individual Integrated Indicators of Innovativenepp. In: J. Józefczyk and D. Orski (Eds.): Knowledge-based Intelligent System Advancements: Systemic and Cybernetic Approaches. IGI, Hershey 2010, pp. 129-140.
   478. Kacprzyk J., De Tre G., Zadrożny S.: Remarks on a Fuzzy Approach to Flexible Database Querying, Its Extension and Relation to Data Mining and Summarization. In: Li Yan, Zongmin Ma (Eds.): Advanced Database Query Systems: Techniques, Applications and Technologies. Information Science Reference, Hershey, New York 2011,pp. 118-139.
   479. Kacprzyk J., Nurmi H., Zadrożny S.: The role of the OWA operators as a unification tool for the representation of collective choice sets. In: Yager, R. R., Kacprzyk, J., Beliakov, G. (Eds.): Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice. Springer, Berlin/Heidelberg 2011,pp. 149-166.
   480. Matthe T., De Tre G., Zadrożny S., Kacprzyk J., Bronselaer A.: Bipolar database querying using bipolar satisfaction degrees. International Journal Of Intelligent Systems, vol. 26, No. 10, 2011,pp. 890-910.
   481. Shanon A., Sotirova E., Szmidt E., Kacprzyk J., Atanassov K., Kim T.: Intuitionistic fuzzy estimations of students’ team forming. Issues In Intuitionistic Fuzzy Sets And Generalized Nets, vol. 9, vol. 9, No. 9, 2011.
   482. Szmidt E., Kacprzyk J.: Intuitionistic fuzzy sets — two and three term representations in the context of a Hausdorff distance. Acta Universitatis Matthiae Belii, Series Mathematics, available at HTTP://ACTAMTH.SAVBB.SK, vol. 19, No. 19, 2011,pp. 53-62.
   483. Szmidt E., Kacprzyk J., Bujnowski P.: Measuring the Amount of Knowledge for Atanassov’s Intuitionistic Fuzzy Sets. Lecture Notes in Artificial Intelligence, vol. 6857, No. 6857, Springer, 2011,pp. 17-24.
   484. Szmidt E., Kacprzyk J., Bujnowski P.: Pearson’s coefficient between intuitionistic fuzzy sets. Notes on Intuitionistic Fuzzy Sets, vol. 17, No. 2, 2011,pp. 25-34.
   485. Szmidt E., Kacprzyk J., Bujnowski P.: Pearson’s Correlation Coefficient between Intuitionistic Fuzzy Sets: an Extended Theoretical and Numerical Analysis. In: K. T. Atanassov, W. Homenda, O. Hryniewicz, J. Kacprzyk, M. Krawczak, Z. Nahorski, E. Szmidt, S. Zadrożny (Eds.): Recent Advances in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. IBS PAN, Warszawa 2011,pp. 223-236.
   486. Zadrożny S., Kacprzyk J., Raś Z.: Supporting Consensus Reaching Processes under Fuzzy Preferences and a Fuzzy Majority via Linguistic Summaries and Action Rules. In: Herrera-Viedma, E.; García-Lapresta, J.L.; Kacprzyk, J.; Fedrizzi, M.; Nurmi, H.; Zadrożny, S. (Eds.): Consensual Processes. Springer-Verlag, 2011,pp. 289-314.
   487. Kacprzyk J.: Multistage fuzzy control: interpolative reasoning for an efficient derivation of optimal control policies. In: M. Busłowicz, M. Malinowski (Eds.): Advances in Control Theory and Automation. Oficyna Wydawnicza Politechniki Białostockiej, Białystok 2012, pp. 117-128.
   488. Kacprzyk J., Zadrożny S.: Bipolar queries: some inspirations from intention and preference modeling. In: Enric Trillas, Piero P. Bonissone, Luis Magdalena, Janusz Kacprzyk (Eds.): Combining Experimentation and Theory – A Hommage to Abe Mamdani. Springer, 2012,pp. 191-208.
   489. Kacprzyk J., Zadrożny S.: Power of Linguistic Data Summaries and Their Protoforms. In: Cengiz Kahraman (Ed.): Computational Intelligence Systems in Industrial Engineering With Recent Theory and Applications. Atlantis Press, Amsterdam, Paris, Beijing, 2012,pp. 71-90 Seria: Atlantis Computational Intelligence Systems.
   490. Szmidt E., Kacprzyk J.: A New Approach to Principal Component Analysis for Intuitionistic Fuzzy Data Sets. In: Greco et al. (Ed.): Advances in Computational Intelligence. Springer, Berlin Heidelberg 2012,pp. 529-538, 39 poz. bibl. Seria: CCIS.
   491. Szmidt E., Kacprzyk J.: On an enhanced Method for a More Meaningful Pearson’s Correlation Coefficient Between Intuitionistic Fuzzy Sets. Lecture Notes in Computer Science, vol. 7267, 2012,pp. 334-341.
   492. Szmidt E., Kacprzyk J., Bujnowski P.: An experimental analysis of some measures of information and knowledge for intuitionistic fuzzy sets. Notes on Intuitionistic Fuzzy Sets, vol. 18, No. 3, 2012,pp. 39-48, 30 poz. bibl.
   493. Dziedzic M., Zadrożny S., Kacprzyk J.: Towards bipolar linguistic summaries: a novel fuzzy bipolar querying based approach. In: Proceedings of the conference: WCCI 2012 IEEE World Congress on Computational Intelligence, Brisbane, Australia, June, 10-15, 2012, IEEE, pp. 1-8.
   494. Kacprzyk J., Zadrożny S.: Bipolarity in preferences and intentions for more human consistent decision analysis and database querying. In: Methodology, models, applications in emerging technologies, Sofia, Bulgaria , September 6-8, 2012, IEEE,pp. 21-26.
   495. Kacprzyk J., Zadrożny S.: Grasping the Content of Web Servers Logs: A Linguistic Summarization Approach. W: Synergies of Soft Computing and Statistics for Intelligent Data Analysis, Konstanz, Germany, 4-6.10.2012, Springer,pp. 449-457.
   496. Marinov E., Szmidt E., Kacprzyk J., Tsvetkov R.: A modified weighted Hausdorff distance between intuitionistic fuzzy sets. In: Methodology, models, applications in emerging technologies, Sofia, Bułgaria , September 6-8, 2012, IEEE,pp. 138-141.
   497. Szmidt E., Kacprzyk J., Bujnowski P.: Advances in Principal Component Analysis for Intuitionistic Fuzzy Data Sets. In: Methodology, models, applications in emerging technologies, Sofia, Bułgaria , September 6-8, 2012, IEEE,pp. 194-199.
   498. Szmidt E., Kacprzyk J., Bujnowski P.: Correlation between Intuitionistic Fuzzy Sets: Some Conceptual and Numerical Extensions. In: Proceedings of the conference: WCCI 2012 IEEE World Congress on Computational Intelligence, Brisbane, Australia, June, 10-15, 2012, IEEE,pp. 480-486.
   499. Zadrożny S., Kacprzyk J.: Bipolar queries: an aggregation operator focused perspective. Fuzzy Sets And Systems, vol. 196, 2012,pp. 69-81.
   500. Zadrożny S., Kacprzyk J., De Tre G.: Bipolar queries in textual information retrieval: A new perspective. Information Processing & Management, vol. 48, No. 3, 2012,pp. 390-398.
   501. Wilbik A., Kacprzyk J.: Towards a multi-criteria analysis of linguistic summaries of time series via the measure of informativenepp. Int. J. of Data Analysis Techniques and Strategies, vol. 4, no.2 2012, pp. 181 – 204
   502. Atanassov K., Szmidt E., Kacprzyk J.: On intuitionistic fuzzy pairs. Notes on Intuitionistic Fuzzy Sets, vol. 19, No. 3, 2013,pp. 1-13, 10 poz. bibl.
   503. Kacprzyk J., Nurmi H., Zadrożny S.: Towards a Comprehensive Similarity Analysis of Voting Procedures Using Rough Sets and Similarity Measures. In: A. Skowron and Z. Suraj (Eds.): Rough Sets and Intelligent Systems – Professor Zdzislaw Pawlak in Memoriam – Volume Springer, 2013,pp. 359-380.
   504. Zadrożny S., Kacprzyk J., Gajewski M., Wysocki M.: A novel text classification problem and its solution. Technical Transactions: Automatic Control, vol. 4-AC, 2013, pp. 7-16
   505. Donis-Diaz C., Bello R., Kacprzyk J.: Linguistic data summarization using an enhanced genetic algorithm. Czasopismo Techniczne, Seria Automatyka, vol. 2-AC, 2013, pp. 3-24.
   506. Kacprzyk J., Zadrożny S.: Comprehensiveness of Linguistic Data Summaries: A Crucial Role of Protoforms. In: Christian Moewes and Andreas Nürnberger (Eds.): Computational Intelligence in Intelligent Data Analysis. Springer-Verlag, Berlin, Heidelberg 2013,pp. 207-221.
   507. Kacprzyk J., Zadrożny S.: Computing with Words and Protoforms: Powerful and Far Reaching Ideas. In: Rudolf Seising, Enric Trillas, Claudio.Moraga, Settimo Termini (Eds.): On Fuzzinepp. Springer-Verlag, Berlin Heidelberg 2013,pp. 265-270
   508. Kacprzyk J., Zadrożny S.: Derivation of Linguistic Summaries is Inherently Difficult: Can Association Rule Mining Help? In: Borgelt Ch., Gil M. A., Sousa J. M. C., Verleysen M. (Eds.): Towards Advanced Data Analysis by Combining Soft Computing and Statistics. Springer, 2013, pp. 291-303.
   509. Kacprzyk J., Zadrożny S., Nurmi H., Fedrizzi M.: On Some Voting Paradoxes: A Fuzzy Preference and a Fuzzy Majority Perspective. In: A.G.S. Ventre, A. Maturo, Š. Hošková-Mayerová (Eds.): Multicriteria and Multiagent Decision Making with Applications to Economics and Social Sciences. Springer-Verlag, Berlin Heidelberg 2013, pp. 219-236.
   510. Olszewski D., Kacprzyk J., Zadrożny S.: Time Series Visualization Using Asymmetric Self-Organizing Map. In: Tomassini, M.; Antonioni, A.; Daolio, F.; Buesser, P. (Eds.): Adaptive and Natural Computing Algorithms. Springer-Verlag, Berlin Heidelberg 2013, LNCS,pp. 40-49.
   511. Szmidt E., Kacprzyk J., Atanassov K.: Intuitionistic Fuzzy Modifications of Some Peneva–Popchev Formulas for Estimation of Preference Degree. Part In: Atanassov K., Kacprzyk J., Krawczak M., Szmidt E. (Eds.): Issues in Intuitionistic Fuzzy Sets and Generalized Nets,. WSISiZ, Warszawa 2013, pp. 12-20.
   512. Szmidt E., Kacprzyk J., Kukier M.: Intuitionistic Fuzzy Classifier for Imbalanced Classes. In: Rutkowski L., Korytkowski M., Scherer R., Tadeusiewicz R., Zadeh L., Żurada J. (eds.): Artificial Intelligence and Soft Computing. Springer, Berlin Heidelberg 2013, LNAI, pp. 483- Automatyka I robotyka:
   513. Kacprzyk J: Fuzzy dynamic programming: interpolative reasoning for an efficient derivation of optimal control policies, Control and Cybernetics, vol. 42 (2013) No. 1, pp. 63-84
   514. Bigaj, P.; Kacprzyk, J., A memetic algorithm based procedure for a global path planning of a movement constrained mobile robot, 2013 IEEE Congress on Evolutionary Computation (CEC), IEEE Press , pp.135 – 141.
   515. J. Kacprzyk, H. Nurmi and S. Zadrozny: Towards a Comprehensive Similarity Analysis of Voting Procedures Using Rough Sets and Similarity Measures, w: A. Skowron and Z. Suraj (Eds.): Rough Sets and Intelligent Systems – Professor Zdzisław Pawlak in Memoriam, Volume 1, ISRL 42, pp. 359 – 380, 2013.
   516. Kacprzyk J., S. Zadrożny and T. Baczko, Towards a Human Consistent Analysis of Innovativeness via Linguistic Data Summaries and Their Protoforms, In: Araceli N. Proto, Massimo Squillante and Janusz Kacprzyk (Eds.): Advanced Dynamic Modeling of Economic and Social Systems, Springer, SCI 448, pp. 91 – 107, 2013.
   517. Kacprzyk J., Gołuńska D., The conceptual framework of fairness in consensus reaching process under fuzzinepp. W: W. Pedrycz and M. Reformat (Eds.): Proceedings of the 2013 IFSA World Congress and NAFIPS Annual Meeting (IFSA – NAFIPS), Edmonton, Canada, pp. 1285 – 1290, IEEE Explore, DOI 1109/IFSA-NAFIPS.2013.6608366
   518. Kacprzyk, J.; Gołuńska, D.; Gorgoń, A., “A computational support for the group consensus reaching process in the fuzzy environment,” 2013 Federated Conference on Computer Science and Information Systems (FedCSIS), pp. 647 – 650, IEEE Press, 2013; URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6644071&isnumber=6643962
   519. Kacprzyk J., Zadrożny S., Nurmi H., Fedrizzi M.: On Some Voting Paradoxes: A Fuzzy Preference and a Fuzzy Majority Perspective. In: A.G.S. Ventre, A. Maturo, Š. Hošková-Mayerová, J. Kacprzyk (Eds.): Multicriteria and Multiagent Decision Making with Applications to Economics and Social Sciences. Springer-Verlag, Berlin Heidelberg 2013, pp. 219-236.
   520. Kacprzyk, J.; Zadrożny, S., Hierarchical bipolar fuzzy queries: Towards more human consistent flexible queries,2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE’2013),, pp.1-8, 2013, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6622518&isnumber=6622297
   521. Kacprzyk J., Zadrożny S.: Comprehensiveness of Linguistic Data Summaries: A Crucial Role of Protoforms. In: Ch. Moewes and A. Nürnberger (Eds.): Computational Intelligence in Intelligent Data Analysis. Springer-Verlag, Berli, Heidelberg 2013, pp. 207-221.
   522. Kacprzyk J., Zadrożny S.: Computing with Words and Protoforms: Powerful and Far Reaching Ideas. In: Rudolf Seising, Enric Trillas, Claudio.Moraga, Settimo Termini (Eds.): On Fuzzinepp. Springer-Verlag, Berlin Heidelberg 2013, pp. 265-270..
   523. Kacprzyk J., Zadrożny S.: Derivation of Linguistic Summaries is Inherently Difficult: Can Association Rule Mining Help? In: Borgelt Ch., Gil M. A., Sousa J. M. C., Verleysen M. (Eds.): Towards Advanced Data Analysis by Combining Soft Computing and Statistics. Springer-Verlag, 2013, pp. 291-303.
   524. R. Bello Perez, C. Donis Diaz and J. Kacprzyk, Linguistic data summarization using an enhanced genetic algorithm, Technical Transactions, Proceedings of ICCIP-2013, International Congress on Control and Information Processing, Cracow, 7-8.12, 2013, Technical Transactions.
   525. Kacprzyk J., Zadrożny S.: Compound bipolar queries: combining bipolar queries and queries with fuzzy linguistic quantifiers. In: Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13), University of Milano-Bicocca, Milan, Italy, September 11-13, 2013, Atlantis Press, pp. 848-855.
   526. Kacprzyk J., Zadrożny S.: Comprehensiveness and interpretability of linguistic data summaries: a natural language focused perspective. In: Proceedings of the conference: IEEE SSCI Symposium Series on Computational Intelligence, Singapur, 16-19.04.2013, IEEE Xplore, pp. 33-40.
   527. M. Dziedzic, J. Kacprzyk and S. Zadrożny, Bipolar Linguistic Summaries: a Novel Fuzzy Querying Driven Approach, w: W. Pedrycz and M. Reformat (Eds.): Proceedings of the 2013 IFSA World Congress and NAFIPS Annual Meeting (IFSA – NAFIPS), Edmonton, Canada, pp. 1285 – 1290.
   528. Szmidt E., Kacprzyk J.: Geometric similarity measures for the intuitionistic fuzzy sets. In: Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13), University of Milano-Bicocca, Milan, Italy, September 11-13, 2013, Atlantis Press, pp. 840-847.
   529. Szmidt E., Kacprzyk J., Kukier M.: An Extended Numerical Analysis of an Intuitionistic Fuzzy Classifier for Imbalanced Classes. In: Proceedings of the 2013 Joint IFSA World Congress, NAFIPS Annual Meeting, Edmonton, Canada, Jule 24-28 2013, pp. 7-12.
   530. Dziedzic, M.; Kacprzyk, J.; Zadrożny, S., “On some quality criteria of bipolar linguistic summaries,”, 2013 Federated Conference on Computer Science and Information Systems (FedCSIS), pp.643 – 646, IEEE Press, 2013
   531. URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6644070&isnumber=6643962
   532. Herrera-Viedma E., F.J. Cabrerizo, J. Kacprzyk and W. Pedrycz: A review of soft consensus models in a fuzzy environment, Information Fusion, vol. 17, pp. 4-13, 2014
   533. Szmidt E., Kacprzyk J. and Bujnowski P.: How to measure the amount of knowledge conveyed by Atanassov’s intuitionistic fuzzy sets, Information Sciences, vol. 257,pp. 276-285, 2014.
   534. Atanassov K., Szmidt E., Kacprzyk J., Bureva V.: Two examples for the use of 3-dimensional intuitionistic fuzzy index matrices. Notes On Intuitionistic Fuzzy Sets, vol. 20, No. 2, 2014, pp. 52-50.
   535. Dziedzic M., Kacprzyk J., Zadrożny S.: Contextual bipolarity and its quality criteria in bipolar linguistic summaries. Technical Transactions: Automatic Control, vol. 4-AC, 2014, pp. 117-127.
   536. Kacprzyk J., Owsiński J., Viattchenin D.: A new heuristic possibilistic clusetering algorithm for feature selection. Journal Of Automation, Mobile Robotics & Intelligent Systems , vol. 8, No. 2, 2014, 40-46.
   537. Kacprzyk J., Owsiński J., Viattchenin D.: Extracting fuzzy classification rules from three-way data. Journal Of Automation, Mobile Robotics & Intelligent Systems , vol. 8, No. 2, 2014, 47-57.
   538. Kacprzyk J., Zadrożny S.: Computing with words, protoforms and linguistic data summaries: towards a novel natural language based data mining and knowledge discovery tools. Journal Of Automation, Mobile Robotics & Intelligent Systems , vol. 8, No. 3, 2014, 52-58.
   539. Kacprzyk J., Zadrożny S., Dziedzic M.: A novel view of bipolarity in linguistic data summaries. In: Koczy L., Pozna C.R., Kacprzyk J (Eds.): Issues and Challenges of Intelligent Systems and Computational Intelligence. Springer Verlag, Berlin, Heidelberg 2014, pp. 215-229.
   540. Zadrożny S., Kacprzyk J.: Bipolarity in database querying: various aspects and interpretations. In: Pivert O., Zadrożny S. (Eds.): Flexible Approaches in Data, Information and Knowledge Management. Springer, Berlin, Heidelberg 2014, pp. 71-91.
   541. Zadrożny S., Kacprzyk J., Dziedzic M., De Tre G.: Contextual bipolar queries. In: Jamshidi, Mo; Kreinovich, Vladik; Kacprzyk, Janusz (Eds.): Advance Trends in Soft Computing. Springer, Berlin, Heidelberg 2014, pp. 421-428.
   542. Gołuńska D., Kacprzyk J., Herrera-Viedma E.: Modeling Different Advising Attitudes in a Consensus Focused Process of Group Decision Making. In: Angelov P., Atanassov K., Doukovska L., Hadjiski M., Jotsov V., Kacprzyk J., Kasabov N., Sotirov S., Szmidt E., Zadrożny S. (Eds.): Intelligent Systems’2014, Vol.1; Mathematical Foundations, Theory, Analyses. Springer, Heidelberg 2015, pp. 279-288.
   543. Bujnowski P., Szmidt E., Kacprzyk J.: Intuitionistic Fuzzy Decision Tree: a new Classifier. In: Angelov P., Atanassov K., Doukovska L., Hadjiski M., Jotsov V., Kacprzyk J., Kasabov N., Sotirov S., Szmidt E., Zadrożny S. (Eds.): Intelligent Systems’2014, Vol.1; Mathematical Foundations, Theory, Analyses. Springer, Heidelberg, 2015, pp.779-790.
   544. Bujnowski P., Szmidt E., Kacprzyk J.: Intuitionistic Fuzzy Decision Trees – a new Approach. In: Artificial Intelligence And Soft Computing Icaisc 2014, Zakopane, Poland, June 1-5, 2014, Springer, LNAI 8467, 2014, pp. 181-192.
   545. Dziedzic M., Billet C., Kacprzyk J., Zadrożny S., De Tre G.: Inner and outer bipolarity in database querying. In: Proceedings of the conference: NAFIPS 2014, Boston, USA, June 24-26, 2014, pp. 1-8.
   546. Gołuńska D., Kacprzyk J.: Cost of reaching the consensus in a group of agents based on a psychology of opinion change. In: Proceedings of the conference: 6th Győr Symposium and 3rd Hungarian-Polish and 1st Hungarian-Romanian Joint Conference, Gyoer, Hungary, September, 2014, pp. 12-23.
   547. Gołuńska D., Kacprzyk J., Zadrożny S.: A Consensus Reaching Support System Based on Concepts of Ideal and Anti-ideal Point. In: Proceedings of the conference: NAFIPS 2014, Boston, USA, June 24-26, 2014, pp. 1-6.
   548. Gołuńska D., Kacprzyk J., Zadrożny S.: A New Model of Efficiency-Oriented Group Decision and Consensus Reaching Support in a Fuzzy Environment. In: IPMU 2014 – Information Processing and Management of Uncertainty in Knowledge-Based Systems, Montpellier, France, July 15-19 2014, Springer, pp. 424-433.
   549. Gołuńska D., Kacprzyk J., Zadrożny S.: On efficiency-oriented support of consensus reaching in a group of agents in a fuzzy environment with a cost based preference updating approach. In: Proceedings of the conference: 2014 IEEE Symposium Series on Computational Intelligence, Orlando, USA, December 9-12, 2014, IEEE, pp. 15-21.
   550. Merigo J., Pacacios-Marques D., Kacprzyk J.: Analysis of the consumption with aggregation operators. In: recent Advances on Fuzy Systems, Joao Pesoa PB, 17-2-.08.2014, SBMAC – Sociedad Brazileira de Matematica Aplicada e Computacional, pp. 513-524.
   551. Olszewski D., Kacprzyk J., Zadrożny S.: Asymmetric k-means Clustering of the Asymmetric Self-Organizing Map. In: Artificial Intelligence and Soft Computing – ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Springer, LNAI 8467, pp. 772-783.
   552. Gajewski M., Kacprzyk J., Zadrożny S.: Topic Detection and Tracking: A Focused Survey and a New Variant. Informatyka Stosowana, vol. 2014, No. 1, 2014, pp. 133-147.
   553. Kacprzyk J., Zadrożny S.: Linguistic summaries of time series: a powerful tool for discovering knowledge on time varying processes and systems. Informatyka Stosowana, vol. 2014, No. 1, 2014, pp. 149-160.
   554. Kacprzyk J. : Fuzzy dynamic programming for the modeling of sustainable regional development: a survey, Appl. Comput. Math., V.14, N.2, 2015, pp.107-124.
   555. Kacprzyk J.: Cognitive Informatics: A Proper Framework for the Use of Fuzzy Dynamic Programming for the Modeling of Regional Development?, In: D.E. Tamir, N.D. Rishe, A. Kandel Eds., Fifty Years of Fuzzy Logic and its Applications, Springer, 2015, pp. 183—200,
   556. Atanassov K., Szmidt E., Kacprzyk J.: On Fodor’s type of intuitionistic fuzzy implication and negation. Notes on Intuitionistic Fuzzy Sets, vol. 21, No. 2, 2015, pp. 25-34.
   557. Atanassov K., Szmidt E., Kacprzyk J., Atanassova V.: Intuitionistic fuzzy approach to the preference degree estimations. Comptes Rendus de L’Academie Bulgare des Sciences, vol. 68, No. 1, 2015, pp. 25-32.
   558. Kacprzyk J.: Cognitive informatics: a proper framework for the use of fuzzy dynamic programming for the modeling of regional development? In: Tamir D.E., Rishe N.D., Kandek A. (Eds.): Fifty years of fuzzy logic and its applications. Springer, Heidelberg and New York 2015, pp. 183-200.
   559. Kacprzyk J.: Fuzzy dynamic programming for the modeling of sustainable regional development. Applied And Computational Mathematics, vol. 14, No. 2, 2015, pp. 107-124.
   560. Kacprzyk J., Viattchenin D., Shyrai S., Szmidt E.: A Novel Similarity Measure between Intuitionistic Fuzzy Sets for Constructing Intuitionistic Fuzzy Tolerance. In: K. Atanassov, O. Castillo, J. Kacprzyk, M. Krawczak, P. Melin, S. Sotirov, E. Sotirova, E. Szmidt, G. De Tre, S. Zadrożny (Eds.): New Developments in Uncertainty Representation and Processing. Advances in Intuitionistic Fuzzy Sets and Generalized Nets. Springer, 2016, pp. 175-183.
   561. Kacprzyk J., Zadrożny S.: Compound Bipolar Queries: A Step Towards an Enhanced Human Consistency and Human Friendlinepp. In: Stan Matwin, Jan Mielniczuk (Eds.): Challenges in Computational Statistics and Data Mining. Springer International Publishing, Cham Heidelberg New York Dordrecht , 2016, pp. 93-111.
   562. Kacprzyk J., Zadrożny S.: Linguistic Summaries of Time Series: A Powerful and Prospective Tool for Discovering Knowledge on Time Varying Processes and Systems. In: R. Seising, E. Trillas, J. Kacprzyk (Eds.): Towards the future of fuzzy logics. Springer, Heidelberg and New York 2015, pp. 65-77.
   563. Kacprzyk J., Zadrożny S., De Tre G.: Fuzziness in database management systems: Half a century of developments and future prospects. Fuzzy Sets And Systems, vol. 281, 2015, pp. 300-307.
   564. Verma T., Kumar A., Kacprzyk J.: A novel approach to the solution of matrix games with payoffs expressed by trapezoidal intuitionistic fuzzy numbers. Journal of Automation, Mobile Robotics & Intelligent Systems , vol. 9, No. 3, 2015, pp. 25-46.
   565. Zadrożny S., Kacprzyk J., Gajewski M.: Multiaspect Text Categorization Problem Solving: A Nearest Neighbours Classifier Based Approaches and Beyond. Journal of Automation, Mobile Robotics & Intelligent Systems , vol. 9, 2015, pp. 58-70.
   566. Bujnowski P., Szmidt E., Kacprzyk J.: An Approach to Intuitionistic Fuzzy Decision Trees. In: Proc. IFSA/EUSFLAT 2015, Gijon, Spain, Atlantis Press, pp. 1253-1260.
   567. Owsiński J., Kacprzyk J., Viattchenin D., Shyrai S.: A new heuristic algorithm of possibilistic clustering based on intuitionistic fuzzy relations. In: Novel Developments in Uncertainty Representation and Processing. Advances in Intuitionistic Fuzzy Sets and Generalized Nets – Proc. of 14th International Workshop on. Warszawa, October 2015, Springer, pp. 199-214.
   568. Szmidt E., Kacprzyk J.: Two and Three Term Representations of Intuitionistic Fuzzy Sets: Some Conceptual and Analytic Aspects. In: Proceedings of the conference: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), Istanbul, Turkey, August 2-5, 2015, IEEE, pp. 1-8.
   569. Zadrożny S., Kacprzyk J., Dziedzic M.: Contextual bipolar queries:. In: Proc. IFSA/EUSFLAT 2015, Gijon, Spain, Atlantic Press, pp. 1266-1273.
   570. Zadrożny S., Kacprzyk J., Dziedzic M.: On a new type of contextual queries and linguistic summaries of a bipolar type. In: Proceedings of the conference: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), Istanbul, Turkey, August 2-5, 2015, IEEE.
   571. Zadrożny S., Kacprzyk J., Gajewski M.: A New Two-Stage Approach to the Multiaspect Text Categorization. In: Proceedings of IEEE SSCI 2015, Cape Town, South Africa, 7-10 December 2015, pp. 1484-1490.
   572. Zadrożny S., Kacprzyk J., Gajewski M.: A novel approach to sequence-of-documents focused text categorization using the concept of a degree of fuzzy set subsethood. In: Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS’2015) held jointly with 2015 5th World Conference on Soft Computing (WConSC), Redmond, USA, August 17-19, 2015, IEEE, pp. 1-6.
   573. Zadrożny S., Kacprzyk J., Gajewski M.: On the detection of new cases in multiaspect text categorization: a comparison of approaches. In: Proceedings of the Congress on Information Technology, Computational and Experimental Physics, Kraków, 18-20 December 2015, pp. Akademia Górniczo-Hutnicza, pp. 213-218.
   574. Kacprzyk J.: Higher education system in Europe: should we get back to basics?. In: Science and the Economic Realities: the Challenge to Investigation in the Post-Crisis World, RACEF, Barcelona.
   575. Atanassov K., Angelova N., Szmidt E., Kacprzyk J.: Properties of the intuitionistic fuzzy implication. Notes On Intuitionistic Fuzzy Sets, vol. 22, No. 4, 2016, 6-12.
   576. Atanassov K., Szmidt E., Kacprzyk J.: New Fodor’s type of intuitionistic fuzzy implication and negation. Notes On Intuitionistic Fuzzy Sets, vol. 22, No. 3, 2016, 1-8.
   577. Blanco F., Merigo J., Kacprzyk J.: Bonferroni means with distance measures and the adequacy coefficient in entrepreneurial group theory. Knowledge-Based Systems, vol. 111, 2016, 217-227.
   578. Kacprzyk J., Gołuńska D., Zadrożny S.: A Consensus Reaching Support System Based on the Concepts of an Ideal and Anti-Ideal Agent and Option. In: M. Collan, M. Fedrizzi, J. Kacprzyk (Eds.): Fuzzy Technology. Present Applications and Future Challenges. Springer, Cham, Heidelberg New York Dordrecht 2016, pp. 115-131.
   579. Kacprzyk J., Zadrożny S.: Fuzzy logic-based linguistic summaries of time series: a powerful tool for discovering knowledge on time varying processes and systems under imprecision. Wiley Interdisciplinary Reviews: Data Mining And Knowledge Discovery , vol. 6, No. 1, 2016, 37-46.
   580. Kacprzyk J., Zadrożny S.: Towards a Fairness-Oriented Approach to Consensus Reaching Support Under Fuzzy Preferences and a Fuzzy Majority via Linguistic Summaries. Lncs Transactions On Computational Collective Intelligence, vol. 23, 2016, 189-211.
   581. Olszewski D., Kacprzyk J., Zadrożny S.: An improved adaptive self-organizing map. In: Guy De Trė, Przemysław Grzegorzewski, Janusz Kacprzyk, Jan W. Owsiński, Wojciech Penczek, Sławomir Zadrożny (Eds.): Challenging problems and solutions in intelligent systems. Springer, 2017, pp. 75-102.
   582. Szmidt E., Kacprzyk J., Atanassov K.: Modal forms of Fodor’s type of intuitionistic fuzzy implication. Notes On Intuitionistic Fuzzy Sets, vol. 21, No. 5, 2015, 1-6.
   583. Szmidt E., Kacprzyk J., Atanassov K.: Properties of Fodor’s intuitionistic fuzzy implication and negation. Notes On Intuitionistic Fuzzy Sets, vol. 21, No. 4, 2015, 6-12.
   584. Szmidt E., Kacprzyk J., Kukier M.: Recognizing Imbalanced Classes by an Intuitionistic Fuzzy Classifier. In: Plamen Angelov, Sotir Sotirov (Eds.): Imprecision and Uncertainty in Information Representation and Processing. Springer, Switzerland 2016, pp. 233-247.
   585. Trojnacki M., Dąbek P., Kacprzyk J., Hendzel Z.: Comparative Analysis of Posture Controllers for Tracking Control of a Four-Wheeled Skid-Steered Mobile Robot, Part Theoretical Considerations. In: R. Jabłoński i T. Brzezin (Eds.): Advanced Mechatronics Solutions. Springer, Heidelberg and New York 2016, pp. 583-604.
   586. Trojnacki M., Dąbek P., Kacprzyk J., Hendzel Z.: Comparative Analysis of Posture Controllers for Tracking Control of a Four-Wheeled Skid-Steered Mobile Robot, Part Dynamics Model of the Robot and Simulation Research of Posture Controllers. In: R. Jabłoński i T. Brzezin (Eds.): Advanced Mechatronics Solutions. Springer, Heidelberg and New York 2016, pp. 605-620.
   587. Zadrożny S., Kacprzyk J., Gajewski M.: A new approach to the multiaspect text categorization by using the support vector machines. In: Guy De Trė, Przemysław Grzegorzewski, Janusz Kacprzyk, Jan W. Owsiński, Wojciech Penczek, Sławomir Zadrożny (Eds.): Challenging problems and solutions in intelligent systems. Springer, 2016, pp. 261-277.
   588. Atanassov K., Georgiev I., Szmidt E., Kacprzyk J.: Multidimensional Intuitionistic Fuzzy Quantifiers. In: Proceedings of the conference: 2016 IEEE 8th International Conference on Intelligent Systems, Sofia, Bulgaria, September 4-6, 2016, pp. 530-534.
   589. Kacprzyk J., Zadrożny S.: On a fairness type approach to consensus reaching support under fuzziness via linguistic summaries. In: 2016 IEEE International Conference on Fuzzy Systems FUZZ-IEEE 2016, Vancouver, Canada, 24-29.07.2016, IEEE Press, pp. 1999-2006.
   590. Szmidt E., Sotirova E., Kacprzyk J., Atanassov K.: Generalized Net for Coordination and Synchronization of Human and Computer-based Expert Type Decision Support Activities in a Multiagent Setting. In: Proceedings of ESCIM 2016, Sofia, Bulgaria, October 5-8, 2016, Universidad de Cadiz (Dept. of Mathematics), Spain, pp. 81-89.
   591. Świechowski M., Kacprzyk J., Zadrożny S.: A novel game playing based approach to the modeling and support of consensus reaching in a group of agents. In: Proceedings of the conference: 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016), Ateny, 06.12.2016 – 09.12.2016, IEEE Press.
   592. Zadrożny S., Kacprzyk J., Gajewski M.: A Hierarchy-Aware Approach to the Multiaspect Text Categorization Problem. In: Proceedings of the conference: The 6th World Conference on Soft Computing, Berkeley, CA, USA, May 22-25, 2016, pp. 303-308.
   593. Zadrożny S., Kacprzyk J., Gajewski M.: A Solution of the Multiaspect Text Categorization Problem by a Hybrid HMM and LDA Based Technique. In: Proceedings of IPMU’2-16 – The 16th Int. Conf. Information Processing and Management of Uncertainty in Knowledge-Based Systems, Einhoven, The Netherlands, 20-24 June 2016, Atlantis Press, Amsterdam, pp. 214-225.
   594. Dziedzic M., Kacprzyk J., Zadrożny S., De Tre G.: Quantified Quality Criteria of Contextual Bipolar Linguistic Summaries. In: Guy De Trė, Przemysław Grzegorzewski, Janusz Kacprzyk, Jan W. Owsiński, Wojciech Penczek, Sławomir Zadrożny (Eds.): Challenging problems and solutions in intelligent systems. Springer, 2017, pp. 139-158.
   595. Kacprzyk J., Zadrożny S.: Linguistic summarization of the contents of Web server logs via the Ordered Weighted Averaging (OWA) operators, Fuzzy Sets and Systems, vol. 285, pp. 182—198, 2016.
   596. Kacprzyk J., H. Nurmi, S. Zadrożny, Using Similarity and Dissimilarity Measures of Binary Patterns for the Comparison of Voting Procedures , in: Kacprzyk, Janusz, Filev, Dimitar, Beliakov, Gleb (Eds.): Granular, Soft and Fuzzy Approaches for Intelligent Systems, Springer, 2017, p.141- 170
   597. Bazydło P., J. Kacprzyk, K. Lasota, Global path planning for a specialized autonomous robot for intrusion detection in wireless sensor networks (WSNs) using a new evolutionary algorithm, in: Mitkowski, W., Kacprzyk, J., Oprzędkiewicz, K., Skruch, P. (Eds.): Trends in Advanced Intelligent Control, Optimization and Automation, Proc. of KKA 2017—The 19th Polish Control Conference, Kraków, Poland, June 18–21, 2017, Springer, Cham, pp. 403-513.
   598. Kacprzyk J., S. Zadrożny, Compound bipolar queries: The case of data with a variable quality, Proc. IEEE-2017 – 2017 IEEE International Conference on Fuzzy Systems, Naples, Italy, July 9-12, 2017, IEEE Press, pp. 1–6, 2017.
   599. Hernandez J.E. et al. (2017) Challenges and Solutions for Enhancing Agriculture Value Chain Decision-Making. A Short Review. In: Luis M. Camarinha-Matos and Hamideh Afsarmanesh and Rosanna Fornasiero (Eds.), Collaboration in a Data-Rich World – Proceedings of 18th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2017, Vicenza, Italy, September 18-20, 2017, Proceedings, Springer, IFIP Advances in Information and Communication Technology, vol. 506, pp. 761–774, 2017.
   600. Merigó J.M., A.M. Gil-Lafuente, J. Kacprzyk, A Bibliometric Analysis of the Publications of Ronald R. Yager, in: Kacprzyk, Janusz, Filev, Dimitar, Beliakov, Gleb (Eds.): Granular, Soft and Fuzzy Approaches for Intelligent Systems, Springer, 2017, pp. 233-248.
   601. Atanassov K.T., E. Szmidt, J. Kacprzyk Intuitionistic fuzzy implication →187, Special Isues, 21st ICIFS, 22–23 May 2017, Burgas, Bulgaria, Notes on Intuitionistic Fuzzy Sets, Vol. 23, 2017, No. 2, pp. 37–43
   602. Atanassov K.T., E. Szmidt, J. Kacprzyk, Multiplicative Type of Operations over Intuitionistic Fuzzy Pairs, in Henning Christiansen and Helene Jaudoin and Panagiotis Chountas and Troels Andreasen and Henrik Legind Larsen (Eds.): Proceedings of Flexible Query Answering Systems – 12th International Conference, FQAS-2017, London, UK, June 21-22, 2017, LNCS 10333, Springer, pp. 201–208, 2017.
   603. Atanassov K.T., N. Angelova, E. Szmidt, J. Kacprzyk, Properties of the intuitionistic fuzzy implication →186, Proc. 3 rd Int. IFS Conf., 29 Aug – 1 Sep 2016, Mersin, Turkey, Notes on Intuitionistic Fuzzy Sets, Vol. 22, 2016, No. 4, 6–12.
   604. Atanassov K.T., E. Szmidt, J. Kacprzyk, P. Vassilev: On intuitionistic fuzzy pairs of n -th type. Issues in IFSs and GNs, Vol. 13, 2017, 136–142.
   605. Szmidt E., J. Kacprzyk, A Perspective on Differences Between Atanassovs Intuitionistic Fuzzy Sets and Interval-Valued Fuzzy Sets. In: Vicenc Torra, Anders Dahlbom, Yasuo Narukawa (Eds.): Fuzzy Sets, Rough Sets,Multisets and Clustering. 221-237, Springer 2017.
   606. Atanassov K.T., E. Szmidt, J. KacprzykL: Multiplicative Type of Operationsover Intuitionistic Fuzzy Pairs. In: Henning Christiansen, Helene Jaudoin, Panagiotis Chountas, Troels Andreasen, Henrik Legind Larsen (Eds.): Flexible Query Answering Systems. 12th International Conference, FQAS 2017 London, UK, June 21-22, 2017, LNAI 10333, 201-208, Springer 2017.
   607. Atanassov K.T, E. Szmidt, J. Kacprzyk: Intuitionistic fuzzy implication -> 21st ICIFS, 22–23 May 2017, Burgas, Bulgaria. Notes on Intuitionistic Fuzzy Sets. Vol. . 23, No. 2, 37–43, 2017.
   608. Szmidt E., J. Kacprzyk, A Perspective on Differences Between Atanassov’s Intuitionistic Fuzzy Sets and Interval-Valued Fuzzy Sets, in Vicenc Torra and Anders Dahlbom and Yasuo Narukawa: Fuzzy Sets, Rough Sets, Multisets and Clustering, Springer, 2017, pp. 221 – 237.
   609. Atanassov K.T., E. Szmidt, J. Kacprzyk – Multiplicative Type of Operations over Intuitionistic Fuzzy Pairs. In: Flexible Query Answering Systems. 12th International Conference, FQAS 2017 London, UK, June 21–22, 2017 (Henning Christiansen, Hélène Jaudoin, Panagiotis Chountas, Troels Andreasen, Henrik Legind Larsen (Eds.), LNAI 10333, pp. 201 – 208, Springer 2017.
   610. Kacprzyk J.,, Krawczak M., Szkatuła G.: On bilateral matching between fuzzy sets, Information Sciences, vol. 402, 2017, pp. 244—266.
   611. Owsiński J.W., K. Opara, J.w Stańczak, J. Kacprzyk, S. Zadrożny: Reverse clustering: an outline for a concept and its use, Toxicological & Environmental Chemistry Vol. 99 , No. 7-8, 2017
   612. Atanassov K.T., Szmidt E., Kacprzyk J., An Approach to a Constructive Simplification of Multiagent Multicriteria Decision Making Problems via Intercriteria Analysis, Comptes Rendus de L Academie Bulgare des Sciences, Volume: 70, Issue: 8, Pages: 1147-1156, 2017
   613. Kacprzyk J., H. Nurmi, S. Zadrożny, Reason vs. Rationality: From Rankings to Tournaments in Individual Choice, Trans. On Computational Collective Intelligence, LNCS 10480, Springer, vol. 27, pp. 28–39, 2017.
   614. Wang Y., N. Howard, J. Kacprzyk, O. Frieder, Ph. Sheu, R.A. Fiorini, M. Gavrilova, S. Patel, J. Peng, B. Widrow: Cognitive Informatics: Towards Cognitive Machine Learning and Autonomous Knowledge Manipulation, International Journal of Cognitive Informatics and Natural Intelligence, Vol. 12, Issue 1, 1-13, 2018.
   615. Pȩkala, B. , Szmidt, E. and Kacprzyk, J. (2018), Group Decision Support under Intuitionistic Fuzzy Relations: The Role of Weak Transitivity and Consistency. Int. J. Intell. Syst.. . doi:10.1002/int.21923
   616. Owsiński J. W., Kacprzyk J., New developments in fuzzy clustering with emphasis on special types of tasks. Control and Cybernetics, vol. 47, no. 2, 115-130, 2018.
   617. Owsiński J.W., Kacprzyk J., Shyrai S., Szmidt E., Viattchenin D., Hernandez Hormazabal, A Heuristic Algorithm of Possibilistic Clustering with Partial Supervision for Classification of the Intuitionistic Fuzzy Data. Journal of Multiple-Valued Logic and Soft Computing.vol. 31, no. 4, 399-423, 2018.
   618. Atamanyuk I., Kacprzyk J., Kondratenko Y.P., Solesvik M., Control of Stochastic Systems Based on the Predictive Models of Random Sequences. In: Kondratenko Y., Chikrii A., Gubarev V., Kacprzyk J. (eds) Advanced Control Techniques in Complex Engineering Systems: Theory and Applications. Studies in Systems, Decision and Control, vol 203. Springer, 2019, pp. 105-128.
   619. Kacprzyk J., Kondratenko Y.P., Merigó J.M., Hormazabal J.H., Sirbiladze G., Gil-Lafuente A.M., A Status Quo Biased Multistage Decision Model for Regional Agricultural Socioeconomic Planning Under Fuzzy Information. In: Kondratenko Y., Chikrii A., Gubarev V., Kacprzyk J. (eds) Advanced Control Techniques in Complex Engineering Systems: Theory and Applications. Studies in Systems, Decision and Control, vol 203. Springer, Cham, 2-19, pp. 201-226.
   620. G. Zhao, Sh. Liu, H. Chen, C. Lopez, J. Hernandez, C. Guyon, R. Iannacone, N. Calabrese, H. Panetto, J. Kacprzyk, M.M.E. Alemany, Value-chain wide food waste management: A systematic literature review. Proceedings 5th International Conference on Decision Support System Technology, EmC-ICDSST 2019, Funchal, Madeira, Portugal.In: Freitas P., Dargam F., Moreno J. (eds) Decision Support Systems IX: Main Developments and Future Trends. EmC-ICDSST 2019. Lecture Notes in Business Information Processing, Vol. 348. Springer, 2019, pp.41-54,
   621. Kacprzyk J. and S. Zadrożny, Compound Bipolar Queries: The Case of Data with a Variable Quality, Proc. 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE’2019), New Orleans, LA, USA, 2019, IEEE Press, pp. 1-6.
   622. Bozhenyuk A., El-Khatib S., Kacprzyk J., Knyazeva M., Rodzin S., Hybrid Ant Fuzzy Algorithm for MRI Images Segmentation. In: Rutkowski L., Scherer R., Korytkowski M., Pedrycz W., Tadeusiewicz R., Zurada J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2019. LNCS 1509. Springer, Cham, 2019, pp 127-137
   623. Belyakov S., Bozhenyuk A., Kacprzyk J., Knyazeva M., Fuzzy Modeling in the Task of Control Cartographic Visualization. In: Rutkowski L., Scherer R., Korytkowski M., Pedrycz W., Tadeusiewicz R., Zurada J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2019. LNCS 11508. Springer, Cham, 2019, pp. 261-272
   624. Sotirova E., Kacprzyk J., Atanassov K., Szmidt E., A Generalized Net Model for the Coordination and Synchronization of Human and Computer-Based Expert Type Decision Support Activities. In: Kóczy L., Medina-Moreno J., Ramírez-Poussa E. (eds) Interactions Between Computational Intelligence and Mathematics Part 2. Springer, Cham, 2019, pp. 115-126.
   625. D. Zoteva, E. Szmidt, J. Kacprzyk, Generalized nets with additional intuitionistic fuzzy conditions for tokens transfer. Notes on Intuitionistic Fuzzy Sets, Vol. 25, No. 2, 104–114, 2019.
   626. K. Atanassov, E. Szmidt, J. Kacprzyk and N. Angelova, Intuitionistic fuzzy implications revisited. Part 1. Notes on Intuitionistic Fuzzy Sets, Vol. 25, 71–78, 2019.
   627. E. Szmidt, J. Kacprzyk and P. Bujnowski, A New Method for Attributes Selection in Intuitionistic Fuzzy Models. Proc. 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019), Atlantis Press, 2019, pp.408-415.
   628. Atamanyuk I., Kacprzyk J., Kondratenko Y.P., Solesvik M., Control of Stochastic Systems Based on the Predictive Models of Random Sequences. In: Kondratenko Y., Chikrii A., Gubarev V., Kacprzyk J. (eds) Advanced Control Techniques in Complex Engineering Systems: Theory and Applications. Springer, Cham, 2019, pp. 105-128.
   629. Evdokia Sotirova, Janusz Kacprzyk , Krassimir T. Atanassov , Eulalia Szmidt, A Generalized Net Model for the Coordination and Synchronization of Human and Computer-Based Expert Type Decision Support Activities. In L.T. Koczy, J.M. Medina, H.Ramirez Poussa (Eds): Interactions Between Computational Intelligence and Mathematics vol. 2, Springer, 2019: pp. 115-126,
   630. E. León-Castro, L. Fernando Espinoza-Audelo, E. Aviles-Ochoa, J.M. Merigó, and J. Kacprzyk, A New Measure of Volatility Using Induced Heavy Moving Averages. Technological and Economic Development of Economy, vol. 25, No. 4, 576-599, 2019.
   631. J. Kacprzyk, R. R. Yager and J. M. Merigó: Towards Human-Centric Aggregation via Ordered Weighted Aggregation Operators and Linguistic Data Summaries: A New Perspective on Zadeh’s Inspirations, IEEE Computational Intelligence Magazine, vol. 14, no. 1, 16-30, 2019.
   632. E. Szmidt, J. Kacprzyk and P Bujnowski, Attribute selection via Hellwig’s algorithm for Atanassov’s intuitionistic fuzzy sets. in L. T. Kóczy et al. (eds.), Computational Intelligence and Mathematics for Tackling Complex Problems, Springer, 2020, pp. 81-90.
   633. Belyakov S., Belyakova M., Bozhenyuk A., Kacprzyk J., Intelligent Search of Spatial Data Analysis Context. In: Aliev R., Kacprzyk J., Pedrycz W., Jamshidi M., Babanli M., Sadikoglu F. (eds) 10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions – ICSCCW-2019. ICSCCW 2019. Advances in Intelligent Systems and Computing, vol 1095. Springer, Cham, 2020, pp. 218-324
   634. Kacprzyk, J., An Iconic Transdisciplinary Journal Moving the Frontiers of Innovation with a Visionary Leader, International Journal of Neural Systems, pp. 2003006–2003006, 2020.
   635. Atanassov, K., Vassilev, P., Szmidt, E., Kacprzyk, J.,, On Interval Valued Intuitionistic Fuzzy Pairs, Journal of Universal Mathematics, vol. 1, no. 3, 261-268, 2020.
   636. N. Angelova, E. Szmidt, J. Kacprzyk, K. Atanassov. Intuitionistic fuzzy implications revisited. Part 2. Notes on Intuitionistic Fuzzy Sets, Vol. 26, No. 1, 28–35, 2020.
   637. E. Szmidt, J. Kacprzyk, Some remarks on assigning weights to experts in multi-attribute group decision making using intuitionistic fuzzy sets, Notes on Intuitionistic Fuzzy Sets, vol. 26, no 3, 43–51, 2020.
   638. Szmidt E., Kacprzyk J., Bujnowski P., Attribute Selection via Hellwig’s Algorithm for Atanassov’s Intuitionistic Fuzzy Sets. In: Kóczy L., Medina-Moreno J., Ramírez-Poussa E., Šostak A. (eds) Computational Intelligence and Mathematics for Tackling Complex Problems. Springer, pp. 81-90, 2020.
   639. Szmidt E., Kacprzyk J., Bujnowski P., Attribute Selection for Atanassov’s Intuitionistic Fuzzy Sets by the Three Term Attribute Description. In: Atanassov K. et al. (eds) Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives. IWIFSGN 2018. Advances in Intelligent Systems and Computing, vol 1081. Springer, Cham.
   640. Kacprzyk J., Dynamic Programming with Imprecise and Uncertain Information, in: Kulczycki, Piotr, Korbicz, Józef, Kacprzyk, Janusz (Eds.), Automatic Control, Robotics, and Information Processing, Springer, Cham, pp. 387-422, 2020.
   641. Kacprzyk J., Programowanie dynamiczne w warunkach nieprecyzyjnej i niepewnej informacji (in Polish), w: Kulczycki, Piotr, Korbicz, Józef, Kacprzyk, Janusz (red.), Automatyka, Robotyka i Przetwarzanie Informacji, PWN, Warszawa, 2020, pp. 349-380.
   642. Yingxu Wang Ming Hou, Fakhri Karray, Sam Kwong, Henry Leung, Konstantinos Plataniotis, Edward Tunstel, Imre J. Rudas, Ljiljana Trajkovic, Janusz Kacprzyk, A Tripartite Theory of Trustworthiness for Autonomous Systems, Proc. SMC-2020, the 2020 IEEE International Conference on Systems, Man, and Cybernetics, IEEE Xplore, 2020, pp. 3375–3380.
   643. Kacprzyk, Janusz, Merigó José M., Nurmi, Hannu, Zadrożny, Sławomir, Multi-agent Systems and Voting: How Similar Are Voting Procedures, In: Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU-2020), vol. 1237, Springer, 2020, pp. 172-184.
   644. Dziedzic, M., De Tré, G., Kacprzyk, J., Zadrożny, S., Bipolar Queries and Relative Object Qualification in Scope of User-Assisted Database Querying, Proc. FUZZ-IEEE’2020 – 2020 IEEE International Conference on Fuzzy Systems, IEEE Xplore, 2020. pp. 1-8,
   645. E. Szmidt, J. Kacprzyk, P. Bujnowski, Attribute Selection for Sets of Data Expressed by Intuitionistic Fuzzy Sets, Proc. FUZZ-IEEE’2020 – The 2020 IEEE International Conference on Fuzzy Systems, pp. 1-7, IEEE Xplore, 2020.
   646. S. Zadrożny, J. Kacprzyk, Fuzzy Analytical Queries: A New Approach to Flexible Fuzzy Queries, Proc. FUZZ-IEEE’2020 – The 2020 IEEE Int’l Conference on Fuzzy Systems, pp. 1-8, IEEE Xplore, 2020.
   647. Bozhenyuk A., Bozheniuk V., Kacprzyk J., Knyazeva M. (2021) Fuzzy Clique Set Determination Method as an Example of Fuzzy Temporal Graph Invariant. In: Aliev R.A., Kacprzyk J., Pedrycz W., Jamshidi M., Babanli M., Sadikoglu F.M. (eds) 14th International Conference on Theory and Application of Fuzzy Systems and Soft Computing – ICAFS-2020. ICAFS 2020, Springer.
   648. Bozhenyuk A., Belyakov S., Kacprzyk J., Knyazeva M. (2021) The Method of Finding the Base Set of Intuitionistic Fuzzy Graph. In: Kahraman C., Cevik Onar S., Oztaysi B., Sari I., Cebi S., Tolga A. (eds) Intelligent and Fuzzy Techniques: Smart and Innovative Solutions. INFUS 2020. Advances in Intelligent Systems and Computing, vol 1197. Springer.
   649. Belyakov S., Bozhenyuk A., Kacprzyk J., Rozenberg I. (2021) Intelligent Planning of Spatial Analysis Process Based on Contexts. In: Kahraman C., Cevik Onar S., Oztaysi B., Sari I., Cebi S., Tolga A. (eds) Intelligent and Fuzzy Techniques: Smart and Innovative Solutions. INFUS 2020. Advances in Intelligent Systems and Computing, vol 1197. Springer.
   650. Mittal, Kanika, Jain, Amita, Vaisla, Kunwar Singh, Castillo, Oscar, Kacprzyk, Janusz, A comprehensive review on type 2 fuzzy logic applications: Past, present and future, Engineering Applications of Artificial Intelligence, vol. 95, pp. 103916, 2020.
   651. Lezoche, Mario, Hernandez, Jorge, Maria del Mar Eva Alemany, Panetto, Hervé, Diaz, Panetto, Hervé, Kacprzyk, Janusz, Agri-food 4.0: a survey of the supply chains and technologies for the future agriculture, Computers in Industry, vol. 117, 103187, 2020.
   652. Talebi A.A., Kacprzyk J., Rashmanlou H., Sadati S.H., A new concept of an intuitionistic fuzzy graph with applications, Journal of Multiple-Valued Logic and Soft Computing, Vol. 35, Issue 5/6, 431-454, 2020.
   653. Kacprzyk, J. (2021). Dynamic Programming with Imprecise and Uncertain Information. In Automatic Control, Robotics, and Information Processing (pp. 387-422). Springer, Cham.
   654. Ren, P., Xu, Z., Kacprzyk, J.:. Group decisions with intuitionistic fuzzy sets. In: D.M. Kilgour, C. Eden (Eds.) Handbook of Group Decision and Negotiation, Springer, 2021, pp. 977-995.
   655. Kacprzyk, J., Knyazeva, M.: Fuzzy Clique Set Determination Method as an Example of Fuzzy Temporal Graph Invariant. In 14th International Conference on Theory and Application of Fuzzy Systems and Soft Computing-ICAFS-2020 (Vol. 1306, p. 1). Springer Nature. 2021.
   656. Ali Asghar Talebi, Janusz Kacprzyk, Hossein Rashmanlou, Seyed Hossein Sadati, Farshid Mofidnakhaei: A Novel Application of Domination in Fuzzy Graphs in Medical Covid-19 Related Immunization. J. Multiple Valued Logic and Soft Computing, vol. 37, np. 5-6, 591-600, 2021.
   657. Yingxu Wang, Fakhri Karray, Sam Kwong, Konstantinos N. Plataniotis, Henry Leung, Ming Hou, Edward W. Tunstel, Imre J. Rudas, Ljiljana Trajkovic, Okyay Kaynak, Janusz Kacprzyk, Mengchu Zhou, Michael H. Smith, Philip Chen, Shushma Patel: On the Philosophical, Cognitive and Mathematical Foundations of Symbiotic Autonomous Systems (SAS). Philosophical Transactions of the Rotal Society vol. 379, np. 2207, pp. 20200362.
   658. J Kacprzyk, S Belyakov, A Bozhenyuk, I Rozenberg: Knowledge Representations for Constructing Chains of Contexts in Geographic Information Systems.” International Journal of Computational Intelligence Systems 14.1 (2021): 1388.
   659. J. Kacprzyk, M. Knyazeva, A. Bozhenyuk, Fuzzy Interval-Valued Temporal Automated Planning and Scheduling Problem. International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions. Springer, Cham, 2021.
   660. S. Zadrożny, J. Kacprzyk and M. Dziedzic, A concept of context-seeking queries, Proceedings of 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE’2021), IEEE, pp. 1-6, 2021.
   661. J. Kacprzyk, S. Zadrożny, H. Nurmi and A. Bozhenyuk, Towards innovation focused fuzzy decision making by consensus, Proceedings of 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE’2021), IEEE, pp. 1-6, 2021.
   662. E. Szmidt, J. Kacprzyk and P. Bujnowski, Three term attribute description of Atanassov’s Intuitionistic Fuzzy Sets as a basis of attribute selection, Proceedings of 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE’2021), IEEE, pp. 1-6, 2021.
   663. T. Andreassen, G. De Tré, J. Kacprzyk, H. Larsen, G. Bordogna and S. Zadrożny, Perspectives and Views of Flexible Query Answering, Proceedings of FQAS’2021 – International Conference on Flexible Query Answering Systems, Springer, Cham, pp. 3-14, 2021.
   664. H. Nurmi, J. Kacprzyk and S. Zadrożny, Voting Systems in Theory and Practice, in: T. Szapiro and J. Kacprzyk (eds.): Collective Decisions: Theory, Algorithms And Decision Support Systems, Springer, Cham, pp. 3-16, 2022.
   665. J. Kacprzyk, G. Sirbiladze and G. Tsulaia, Associated Fuzzy Probabilities in MADM with Interacting Attributes: Application in Multi-Objective Facility Location Selection Problem, International Journal of Information Technology and Decision Making,pp. 1-34, 2022.
   666. M. Hou, Y. Wang, L. Trajkovic, K. Plataniotis, S. Kwong, M. Zhou, E. Tunstel, I. Rudas, J. Kacprzyk and H. Leung, Frontiers of Brain-Inspired Autonomous Systems: How Does Defense R&D Drive the Innovations?,IEEE Systems,Man and Cybernetics Magazine, vol. 8 (2), 8-20, 2022.
   667. G. Sirbiladze, J. Kacprzyk, T. Manjafarashvili, B. Midodashvili and B. Matsaberidze, New Fuzzy Extensions on Binomial Distribution, Axioms, vol. 11, no. 5, pp. 220, 2022.
   668. M. Flores-Sosa, E. Avilés-Ochoa, J.M. Merigó and J. Kacprzyk, The OWA operator in multiple linear regression, Applied Soft Computing, pp. 108985, 2022.
   669. E. Szmidt, J. Kacprzyk, P. Bujnowski, Similarity measures for Atanassov’s intuitionistic fuzzy sets: some dilemmas and challenges, Control and Cybernetics, vol. 51 (2) pp. 249 – 266, 2022.
   670. J. Kacprzyk, S. Zadrożny, A novel approach to hierarchical contextual bipolar queries: A winnow operator approach. Control and Cybernetics, vol. 51 (2), pp. 267-283, 2022.
   671. Wang, Y., Widrow, B., Pedrycz, W., Kacprzyk, J., Kwong, S., Plataniotis, K. N, Guan L. Spachos, P. (2022). Recent Breakthroughs in Cognitive Informatics and Cognitive Computing towards Autonomous AI (Plenary Panel Report-I of IEEE ICCI* CC’22). In 2022 IEEE 21st International Conference on Cognitive Informatics & Cognitive Computing (ICCI* CC) (pp. 258-267). IEEE XPlore.
   672. Chang W.; F. Deng; Sh. Li; Kacprzyk J., Rashmanlou H. (2023) Novel Concepts in Picture Fuzzy Graphs With an Application, Journal of Multiple-Valued Logic & Soft Computing, Vol. 41, No. 1/2, 39-66.
   673. Kacprzyk, J., Zadrożny, S. (2023). Contextual Bipolar Database Queries: A Conjunctive and Disjunctive Perspective. In: Kahraman, C., Sari, I.U., Oztaysi, B., Cebi, S., Cevik Onar, S., Tolga, A.Ç. (eds) Intelligent and Fuzzy Systems. INFUS 2023. Lecture Notes in Networks and Systems, vol 758. Springer, Cham. https://doi.org/10.1007/978-3-031-39774-5_1
   674. Szmidt E., Kacprzyk J., Bujnowski P. (2023) Identification of a sufficient number of the best attributes in the intuitionistic fuzzy models Notes on Intuitionistic Fuzzy Sets, vol. 29, No. 2, 144–156.
   675. Kacprzyk, J. (2023) AI-enabled Decision Aid and Decision Support for Symbiotic Autonomous Systems. In: 2022 IEEE 21st International Conference on Cognitive Informatics & Cognitive Computing (ICCI* CC). IEEE, 2022. p. 4-5.
   676. P. Wasilewski, J. Kacprzyk, S. Zadrozny (2023) On some concept lattice of social choice functions, In: M. Ganzha, L.A> Maciaszek, M. Paprzycki, D. Ślęzak (eds.) Proceedings of the 18th Conference on Computer Science and Intelligence Systems, FedCSIS 2023, Annals of Computer Science and Information Systems, vol. 35, pp. 1197–1203, https://doi.org/10.15439/2023F3892.
   677. Sirbiladze Gia., Kacprzyk J., Midodashvili B., Khachidze M., Midodashvili L., Parshutkin I. (2023) Possibilistic simulation based interactive fuzzy MAGDM under discrimination q-rung picture linguistic information. Application in educational programs efficiency evaluation, Engineering Applications of Artificial Intelligence, vol. 123, Part A, p. 106278, https://doi.org/10.1016/j.engappai.2023.106278.
   678. Y. Kong, L. Liu, H. Chen, J. Kacprzyk and D. Tao (2023) Overcoming Catastrophic Forgetting in Continual Learning by Exploring Eigenvalues of Hessian Matrix, in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2023.3292359.
   679. Chang W.; F. Deng; Sh. Li; Kacprzyk J., Rashmanlou H. (2023) Novel Concepts in Picture Fuzzy Graphs With an Application, Journal of Multiple-Valued Logic & Soft Computing, Vol. 41, No. 1/2, 39-66.
   680. J. Kacprzyk, A. Bozhenyuk, E. Gerasimenko (2023) Lexicographic maximum dynamic evacuation modeling with partial lane reversal based on hesitant fuzzy TOPSIS, Applied Soft Computing,, vol. 144,, p. 110435, https://doi.org/10.1016/j.asoc.2023.110435.
   681. Y. Wang, B. Widrow, C.A.R. Hoare, W. Pedrycz, R.C. Berwick, K.N. Plataniotis, I.J. Rudas, J. Lu, J. Kacprzyk (2023) The odyssey to next-generation computers: cognitive computers (κC) inspired by the brain and powered by intelligent mathematics, Frontiers in Computer Science, vol. 5, p. 1152592.
   682. Semenov, A., Semenova, O., Kryvinska, N., Tromsyuk, V., Tsyrulnyk, S., Rudyk, A., Kacprzyk, J. (2023) Advanced correlation method for bit position detection towards high accuracy data processing in industrial computer systems. Information Sciences, VolL. 624, 652-673.