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List of publications in 2007

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Selected publications

[1]    Badica C., Ganzha M., Paprzycki M.: Implementing rule-based automated price negotiation in an agent system. JOURNAL OF UNIVERSAL COMPUTER SCIENCE, 2007, 13, ss. 244-266.

[2]    Bartoszczuk P., Horabik J.: Tradable permit systems: considering uncertainty in emission estimates. WATER AIR AND SOIL POLLUTION: FOCUS, 2007, 7, ss.573-579.

[3]    Bednarczuk E.: On weak sharp minima in vector optimization with applications to parametric problems.  CONTROL AND CYBERNETICS, 2007, 36, ss.563-570.

[4]    Bednarczuk E.: Strong pseudomonotonicity, sharp efficiency and stability for parametric vector equilibria. ESAIM PROCEEDINGS, 2007, 17, ss.9-18.

[5]    Bednarczuk E.: The vector-valued variational principle in Banach spaces ordered by cones with nonempty interiors.  SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2007, 18, ss.907-913.

[6]    Błaszczyński J., Greco S., Słowiński R.: Multi-criteria classification – a new scheme for application of dominance-based decision rules. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2007, 181, ss.1030-1044.

[7]    Błaszczyński J., Greco S., Słowiński R., Szeląg M.: Monotonic variable consistency rough set approaches.  LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2007, 4481, ss.126-133.

[8]    Bortolon G., Pedrycz W.: Hyperbox classifiers for arrhythmia classification. KYBERNETES, 2007, 36, ss.531-547.

[9]    Breżnieva A., Tret’yakov A.: The p-factor-lagrange methods for degenerate nonlinear programming.  NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION, 2007, 28, ss.1051-1086.

[10]    Brzezińska  I., Greco S., Słowiński R.: Mining Pareto-optimal rules with respect to support and confirmation or support and anti-support.  ENGINEERING APPLICATIONS OF  ARTIFICIAL INTELLIGENCE, 2007, 20, ss.587-600.

[11]    Cichocki A., Zdunek R.: Multilayer nonnegative matrix factorization  using projected gradient approaches. INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 2007, 17, ss. 431-446.

[12]    Cichocki A., Zdunek R., Amari S.: Hierarchical ALS algorithms for nonnegative matrix and 3D tensor factorization.  LECTURE NOTES IN COMPUTER SCIENCE, 2007, 4666, ss. 169-176.

[13]    Dembczyński K., Greco S., Kotłowski W., Słowiński R.: Optimized generalized decision in dominance-based rough set approach. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2007, 4481, ss.118-125.

[14]    Dembczyński K., Greco S., Kotłowski W., Słowiński R.: Relationship between loss functions and confirmation measures. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2007, 4482, ss.338-345.

[15]    Dembczyński K., Greco S., Kotłowski W., Słowiński R.: Statistical model for rough set approach to multicriteria classification. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2007, 4702, ss.164-175.

[16]    Gaweda A., Muezzinoglu M., Aronoff  G., Jacobs A., Żurada J., Brier M.:  Using clinical information in goal-oriented learning. IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE, 2007, ss.27-36.

[17]    Gawinecki M., Kruszyk M., Paprzycki M., Ganzha M.: Pitfalls of agent system development on the basis of a travel support system. LECTURE NOTES IN COMPUTER SCIENCE, 2007, 4439, ss.488-499.

[18]    Greco S., Matarazzo B., Słowiński R.: Dominance-based rough set approach as a proper way of handling graduality in rough set theory. LECTURE NOTES IN COMPUTER SCIENCE, 2007, 4400, ss.36-52.

[19]    Greco S., Słowiński R., Stefanowski J.: Evaluating importance of conditions in the set of discovered rules. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2007, 4482, ss. 314-321.

[20]    Greco S., Słowiński R., Yao Y.:  Bayesian decision theory for dominance-based rough  set approach. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2007, 4481, ss.134-141.

[21]    Grzegorzewski P., Mrówka E.: Flexible querying via IF-sets. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2007, 22, ss.589-597.

[22]    Grzegorzewski P., Mrówka E .: Trapezodial approximations of fuzzy numbers- revisited. FUZZY SET AND SYSTEMS, 2007, 158, ss.757-768.

[23]    Habas P., Żurada J.: Reliability analysis framework for computer-assisted medical decision systems. MEDICAL PHYSICS, 2007, 34, ss.1645-1657.

[24]    He Z., Xie S., Ding S., Cichocki K.: Convolutive blind source separation in the frequency domain based on sparse representation. IEEE TRANSACTION ON AUDIO, SPEECH, AND LANGUAGE PROCESSSING, 2007, 15, ss.1551-1563.

[25]    Hou Y., Żurada J., Karwowski W., Marras W., Davis K.:   Estimation of the dynamic spinal forces using a recurrent fuzzy neural network. IEEE TRANSACTION ON SYSTEMS, MAN, AND CYBERNETICS – PART B: CYBERNETICS,  2007, 37, ss.100-109.

[26]    Hou Y., Żurada J., Karwowski W., Marras W., Davis K.: Identification of key variables using fuzzy average with fuzzy cluster distribution. IEEE TRANSACTION ON FUZZY SYSTEMS, 2007, 15, ss.673-685.

[27]    Jaworska T.:  Object extraction as a basic process for content-based image retrieval (CBIR) system. OPTO-ELECTRONICS REVIEW, 1997 [druk 2007], 15, ss.184-195.

[28]    Kacprzyk J., Wilbik A., Zadrożny S.: Linguistic summarization of time series by using the Choquet integral. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2007, 4529, ss. 284-294.

[29]    Kacprzyk J., Wilbik A., Zadrożny S.: Linguistic summarization of time series under different granulation of describing features.  LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2007, 4585, ss.230-240.

[30]    Kaliszewski I.: A method of approximating  Pareto sets for assessments of implicit Pareto set elements. CONTROL AND CYBERNETICS, 2007, 36, ss.367-381.

[31]    Kiwiel K.: Convergence of the gradient sampling algorithm for nonsmooth nonconvex optimizations. SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2007, 18, ss.379-388.

[32]    Kiwiel K.: On linear-time algorithms for the continuous quadratic knapsack problem. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS,  2007, 133, ss.549-554.

[33]    Kiwiel K., Larsson T., Lindberg P.: Lagrangian relaxation via ballstep subgradient methods. MATHEMATICS OF OPERATIONS RESEARCH, 2007, 32, ss.669-686.

[34]    Klukowski L.: Completion and clarification to the paper test for relation type – equivalence of tolerance – in finite set of elements.  CONTROL AND CYBERNETICS, 2007, 36, ss. 467-468.

[35]    Klukowski L.: Estimation of tolerance relation on the basis of multiple pairwise comparisons with random errors. CONTROL AND CYBERNETICS, 2007, 36, ss.443-466.

[36]    Krajewski W., Viaro U.: On MIMO model reduction by weighted equation-error approach. NUMERICAL ALGORITHMS, 2007, 44, ss.83-98.

[37]    Krajewski W., Viaro U.: Root-locus invariance, exploiting alternative arrival and departure points IEEE CONTROL AND SYSTEMS MAGAZINE, 2007, 27, ss.36-43.

[38]    Kwak J., Wai-Hung Tsang I., Żurada J.: A class of single–class minimax probability machines for novelty detection.  IEEE TRANSACTIONS ON NEURAL NETWORKS, 2007, 18, ss.778-785.

[39]    Libura M.: On the adjustment problem for linear programs. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2007, 183, ss.125-134.

[40]    Lieberman D., Jones M., Winiwater W., Nahorski Z., Nilsson S.: Accounting for climate change: introduction. WATER AIR AND SOIL POLLUTION: FOCUS, 2007, 7, ss.421-424.

[41]    Liu X., Pedrycz W.: The development of fuzzy decision trees in the framework of axiomatic fuzzy set logic. APPLIED SOFT COMPUTING, 2007, 7, ss.325-342.

[42]    Malanowski K.: A characterization of stability and sensitivity properties for state-constrained optimal control. CONTROL AND CYBERNETICS, 2007, 36, ss.711-726.

[43]    Malanowski K.: Stability analysis for nonlinear optimal control problems subject to state constrints. SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2007, 18, ss.926-945.

[44]    Malanowski K.: Stability and sensitivity analysis for linear-quadratic optimal control subject to state constraints. OPTIMIZATION, 2007, 55, ss.463-478.

[45]    Malanowski K.:  Sufficient optimality conditions in stability analysis for state – constrained optimal control. APPLIED MATHEMATICS AND OPTIMIZATION, 2007, 55, ss.255-271.

[46]    Malinowski J.: Node–pair reliability of network systems with small distances between adjacent nodes. RELIABILITY ENGINEERING AND SYSTEM SAFETY, 2007, 92, ss. 479-489.

[47]    Michałowski W., Kersten G., Słowiński R., Wilk S.: Designing Man-machine interactions for mobile clinical systems: MET tiage support on palm handheld. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2007, 177, ss.1409-1417.

[48]    Nahorski Z., Horabik J., Jones M.: Compliance and emission trading under the Kyoto protocol: rules for uncertain inventories. WATER AIR AND SOIL POLLUTION: FOCUS, 2007, ss.539-558.

[49]    Nahorski Z., Jęda W.: Processing national CO2 inventory emission data and their total uncertainty estimates. WATER AIR AND SOIL POLLUTION: FOCUS, 2007, 7, ss.513-527.

[50]    Oh S., Pedrycz W., Park H.: Fuzzy relation-based neural networks and their hybrid identification. IEEE TRANSACTION ON INSTRUMENTATION AND MEASUREMENT, 2007, 56, ss.1-15.

[51]    Oh S., Pedrycz W., Park  K.:  Structural  developments of fuzzy systems with the aid of information granulation. SIMULATION MODELLING PRACTICE AND THEORY, 2007, 15, ss.1292-1309.

[52]    Olejnik R., Toursel B., Ganzha M., Paprzycki M.: Combining software agents and grid middleware. LECTURE NOTES IN COMPUTER SCIENCE, 2007, 4459, ss.678-665.

[53]    Pawłow-Niezgódka I.: Regular weak solutions to 3-D  Cahn-Hilliard system in elastic solids. DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS, 2007, ss.824-833.

[54]    Pedrycz W.: Genetic tolerance fuzzy neural networks: from data to fuzzy hyperboxes. NEUROCOMPUTING, 2007, 70, ss.1403-1413.

[55]    Pedrycz W., Hirota K.:  Fuzzy vector quantization with the particle swarm optimization: a study in fuzzy granulation-degranulation information processing. SIGNAL PROCESSING, 2007, 87, ss.2061-2074. 

[56]    Pedrycz W., Hirota K.: Forming consensus in the networks of knowledge. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2007, 20, ss.657-666.

[57]    Pedrycz W., Kwak K.: The development of incremental models. IEEE TRANSACTION ON FUZZY SYSTEMS, 2007, 15, ss.507-518.

[58]    Pedrycz W., Oh S., Park H.:  Evolutionary design of hybrid self – organizing polynomial neural networks with the aid of information granulation.  EXPERT SYSTEMS WITH APPLICATIONS, 2007, 33, ss.830-846.

[59]    Podkopaev D.: An approach to finding trade-off solutions by a linear transformation of objective functions. CONTROL AND CYBERNETICS, 2007, 36, ss.347-355.

[60]    Słowiński R., Greco S., Matarazzo B.: Dominance-based rough set approach to reasoning about ordinal data. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2007, 4585, ss. 5-11.

[61]    Słowiński R., Szczęch I., Urbanowicz M., Greco S.: Mining association rules with respect to support and ant-support – experimental results. LECTURE NOTES IN ARTTIFICIAL INTELLIGENCE, 2007, 4585, ss.534-542.

[62]    Szmidt E., Kacprzyk J.: Classification with nominal data using intuitionistic fuzzy sets. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2007, 4529, ss.76-85.

[63]    Szmidt E., Kacprzyk J.: Some problems with entropy measures for the Atanassov intuitionistic fuzzy sets. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2007, 4578, ss.291-297.

[64]    Tay A., Żurada J., Wong L., Xu J.: The hierarchical fast learning artificial neural network (HieFLANN) – an autonomous platform for hierarchical neural network construction. IEEE TRANSACTIONS ON NEURAL NETWORKS, 2007, 18, ss.1645-1657.

[65]    Tomczyk A., Szczepaniak P., Pryczek M.: Active contours as knowledge discovery methods. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 2007, 4755, ss.209-218.

[66]    Vukmirovic M., Szymczak M., Gawinecki M., Ganzha M., Paprzycki M.: Designing new ways for selling airline tickets. INFORMATICA, 2007, 31, ss.93-104.

[67]    Tret’yakov A., Prusińska A.: A remark on existence of solutions to nonlinear equations with degenerate Mappin. SET-VALUED ANALYSIS, 2007, ss.10-22.

[68]    Wang L., Liu W., Shi H., Żurada J.: Cellular neural networks with transient chaos. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS -PART B: CYBERNETICS, 2007, 54, ss.440-444.

[69]    Yoshikova S., Pawłow-Niezgódka I., Zajączkowski W.: Quasi-linear thermoelasticity system arising in shape memory materials. SIAM JOURNAL ON MATHEMATICAL ANALYSIS, 2007, 38, ss.1733-1759.

[70]    Zadrożny S., Kacprzyk J.: Biopolar queries using various interpretations of logical connectives.  LECTURE NOTES IN COMPUTER SCIENCE, 2007, 4529, ss.181-190.

 

Selected books

 [1]    Badica C., Paprzycki M. (Eds.): Advances in intelligent and distributed computing. Springer Verlag, Berlin, Heidelberg 2007, 309 s. Seria: Studies in Computational Intelligence, Vol. 78.

[2]    Batyrshin I., Kacprzyk J., Sheremetov L., Zadeh L. (Eds.): Perception-based data mining and decision making in economics and finance. Springer Verlag, Heidelberg 2007, 367 s. Seria: Studies in Computational Intelligence, Vol. 36.

[3]    Bednarczuk E., Naniewicz Z., Zagrodny D. (Eds.): In honour of Professor Stefan Rolewicz. Special issue of CONTROL AND CYBERNETICS, Vol. 36, No. 1. 2007, 379 s.

[4]    Castillo O., Melin P., Kacprzyk J., Pedrycz W. (Eds.): Hybrid intelligent systems: analysis and design. Springer Verlag, Heidelberg 2007, 433 s. Seria: Studies in Fuzziness and Soft Computing, Vol. 208.

[5]    Castillo O., Melin P., Ross O., Sepulveda Cruz R., Pedrycz W., Kacprzyk J. (Eds.): Theoretical advances and applications of fuzzy logic and soft computing. Seria: Advances in Soft Computing, Berlin - Heidelberg 2007, 895 s.

[6]    Kaliszewski I. (Ed.): Multiple criteria decision making refinements: models and methodologies. Special issue of CONTROL AND CYBERNETICS, Vol. 36, No. 1. 2007, 205 s.

[7]    Kulczycki P., Hryniewicz O., Kacprzyk J. (Red.): Techniki informacyjne w badaniach systemowych. Wydawnictwa Naukowo-Techniczne, Warszawa 2007, 456 s.

[8]    Lieberman D., Jonas M., Nahorski Z., Nilsson S. (Eds.): Accounting for climate change. Uncertainty in greenhouse gas inventories - verification, compliance, and trading. Springer Verlag, Dordrecht (Holandia) 2007, 159 s.

[9]    Melin P., Castillo O., Aguilar L., Kacprzyk J., Pedrycz W. (Eds.): Foundations of fuzzy logic and soft computing. Lecture Notes in Artificial Intelligence, Berlin - Heidelberg 2007, 830 s. Seria: Lecture Notes in Computer Science, Vol. 4529.

[10]    Melin P., Castillo O., Ramirez E., Kacprzyk J., Pedrycz W. (Eds.): Analysis and design of intelligent systems using soft computing techniques. Springer Verlag, Heidelberg 2007, 855 s. Seria: Advances in Soft Computing, Vol. 41.

[11]    Nahorski Z., Owsiński J., Szapiro T. (Eds.): The socio-economic tansformation. Getting closer to what? Palgrave Macmillan, New York 2007, 146 s.

[12]    Nikravesh M., Kacprzyk J., Zadeh L. (Eds.): Forging new frontiers: fuzzy pioneers I. Springer Verlag, Heidelberg 2007, 460 s. Seria: Studies in Fuzziness and Soft Computing, vol. 217.

[13]    Węgrzyn-Wolska K., Szczepaniak P. (Eds.): Advances in intelligent web mastering. Springer Verlag, Berlin - Heidelberg 2007, 380 s.
 

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Z radością przyjęlismy wiadomość, że Profesor Janusz Kacprzyk otrzymał kolejne wyróżnienie: 2016 Individual Award for Outstanding Contributions in the field of Computational Intelligence nadane przez Oddział Indyjski International Neural Network Society (INNS Indian Chapter).   INNS jest prestiżowym światowym towarzystwem naukowym, a jego oddzial w...czytaj dalej »


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