Wybrane publikacje - Prof. dr hab. inż. Janusz Kacprzyk - strona domowa
poniedziałek, 23 Październik 2017
j_kacprzyk

Prof. dr hab. inż.
Janusz Kacprzyk

Kierownik Pracowni Systemów
Inteligentnych

Pokój: 220
Telefon: +(48) 22 3810275
Fax: +(48) 22 3810103
E-mail: kacprzyk at ibspan dot waw dot pl

Wybrane publikacje

Strona główna » Wybrane publikacje

Linguistic summaries of databases

  1. Kacprzyk J., Zadrożny S.: Linguistic database summaries and their protoforms: towards natural language based knowledge discovery tools. INFORMATION SCIENCES, vol. 173, No. 4, 2005, pp. 281-304. PDF
  2. Kacprzyk J., Zadrożny S.: Fuzzy linguistic data summaries as a human consistent, user adaptable solution to data mining. In: Gabrys B., Leiviskä K. , Strackeljan J. (Eds.): Do smart adaptive systems exist? Springer Verlag, Heidelberg New York 2005, pp. 321-339.
  3. 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, 2009, to appear. PDF
  4. Kacprzyk J., Zadrożny S.: Linguistic data summarization: a high scalability through the use of natural language?. In: M.-J. Lesot, A. Laurent (Eds.): Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design, IGI, 2009, to appear. PDF

 

Linguistic summaries of time series

  1. Kacprzyk J., Wilbik A., Zadrożny S.: Linguistic summaries of time series via a quantifier based aggregation using the sugeno integral. In: Proceedings of the conference: 2006 IEEE World Congress on Computational Intelligence, Vancouver, BC, Canada, July 16-21, 2006, IEEE Press, pp. 3610-3616. PDF
  2. 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. PDF

 

Group decision making and consensus reaching support

  1. Nurmi H., Kacprzyk J.: Designing representative bodies when the voter preferences are fuzzy. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 4529, 2007, pp. 211-219.
  2. 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. John Wiley & Sons, Chichester 2008, ss. 906-929. PDF
  3. 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, 2008, pp. 859-864. PDF
  4. Kacprzyk J., Zadrożny S.: Soft Computing and Web Intelligence for Supporting Consensus Reaching. SOFT COMPUTING, 2009, to appear. PDF
  5. 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. PDF

 

Fuzzy logic in data modeling and querying

  1. Kacprzyk J., Zadrożny S.: Computing with words in intelligent database querying: standalone and internet-based applications. INFORMATION SCIENCES, vol. 2001, No. 1-4, 2001, ss. 71-109. PDF
  2. De Tre G., De Caluwe R., Kacprzyk J., Zadrożny S.: On flexible database querying via extensions to fuzzy sets. In: Proceedings of the conference: (EUSFLAT 2005) 4th Conference of the European Society for Fuzzy Logic and Technology, Barcelona (Hiszpania), 2005, pp. 1225-1230. PDF
  3. Zadrożny S., Kacprzyk J.: Bipolar queries and queries with preferences (invited paper). In: Proceedings of the conference: 17th International Conference on Database and Expert Systems Applications (DEXA'06), Krakow, Poland, September 4-8, 2006, IEEE Computer Society, pp. 415-419. PDF
  4. Zadrożny S., Kacprzyk J.: On Tuning OWA Operators in a Flexible Querying Interface. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 4027, 2006, pp. 97-108. PDF
  5. Zadrożny S., Kacprzyk J.: Bipolar queries using various interpretations of logical connectives. LECTURE NOTES IN COMPUTER SCIENCE, vol. 4529, 2007, pp. 181-190. PDF
  6. 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-Suppl., 2007, pp. 111-131. 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 Inc. pp. 34-53, 2008. PDF
  7. Zadrożny S., Kacprzyk J., Sobota G.: Avoiding Duplicate Records in a Database Using a Linguistic Quantifier Based Aggregation - A Practical Approach. In: Proceedings of 2008 IEEE World Congress on Computational Intelligence, Hong Kong, 1-6 June 2008, pp. 2194-2201. PDF
  8. Zadrożny S., Kacprzyk J.: Bipolar queries: a way to enhance the flexibility of database queries. In: Z. Ras, A. Dardzinska (Eds.): Advances in Data Management. Springer Verlag, Series: Studies in Computational Intelligence , Vol. 223, 2009, to appear. PDF
  9. Zadrożny S., Kacprzyk J.: Bipolar Queries: An Approach and its Various Interpretations. In: Proceedings of the IFSA Congress/EUSFLAT Conference, Lisbon, Portugal, 2009, to appear. PDF

 

Intuitionistic fuzzy sets: theory and applications

  1. Szmidt E., Kacprzyk J.: Entropy for intuitionistic fuzzy sets. FUZZY SETS AND SYSTEMS, vol. 118, No. 3, 2001, pp. 467-477 PDF Dubois D., 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. PDF  

 

Fuzzy logic in textual information processing

  1. Kacprzyk J., Nowacka K., Zadrożny S.: A possibilistic-logic-based information retrieval model with various term-weighting approaches. Springer Verlag, Berlin, LNAI 4029, 2006, pp. 1120-1129. PDF
  2. Zadrożny S., 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, May 22-25, 2005, IEEE, pp. 1020-1025. PDF
  3. Zadrożny S., Kacprzyk J.: Computing with words for text processing: an approach to the text categorization. INFORMATION SCIENCES, vol. 176, No. 4, 2006, pp. 415-437. PDF
  4. 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, 2009, to appear. PDF

 

Inductive learning

  1. Kacprzyk J., Szkatuła G.: A softened formulation of inductive learning and its use for coronary disease data. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 3488, 2005, pp. 200-209. PDF
  2. Kacprzyk J., Szkatuła G.: An inductive learning algorithm with a partial completeness and consistence via a modified set covering problem. LECTURE NOTES IN COMPUTER SCIENCE, vol. 3697, 2005, pp. 661-666. PDF
Strona główna

© 2009 - 2017 by Janusz Kacprzyk

projektowanie stron www