Publications Research Monographs 2008 1. B. Apolloni, W. Pedrycz, D. Machioldi, S. Bassis, The Puzzle of Granular

Computing, Springer-Verlag, Berlin, to appear. 2007 2. K.J. Cios, W. Pedrycz, R. Swiniarski, L. Kurgan, Data Mining: A

Knowledge Discovery Approach, Springer-Verlag, Berlin, 2007. 1. W. Pedrycz, F. Gomide, Fuzzy Systems Engineering: Toward Human- Centric Computing, John Wiley, Hoboken, NJ, 2007 2005 1. W. Pedrycz, Knowledge-Based Fuzzy Clustering, John Wiley, N. York, 2005. 2003 1. A.Bargiela, W. Pedrycz, Granular Computing: An Introduction, Kluwer

Academic Publishers, Dordrecht, 2003. 1999 1. J. F. Peters, W. Pedrycz, Software Engineering: An Engineering Approach, J.

Wiley, N. York, 1999. 1998 2. K. Cios, W.Pedrycz, R. Swiniarski, Data Mining Techniques, Kluwer Academic

Publishers, Dordrecht, 1998. 1. W. Pedrycz, F. Gomide, An Introduction to Fuzzy Sets; Analysis and Design.

MIT Press, Boston, 1998. 1997 1. W. Pedrycz, Computational Intelligence: An Introduction. CRC Press, Boca

Raton, Fl, 1997. 1995 1. W.Pedrycz, Fuzzy Sets Engineering, CRC Press, Boca Raton, Fl, 1995. 1989 2. W.Pedrycz, Fuzzy Control and Fuzzy Systems (3rd extended edition), Research

Studies Press/J. Wiley, Taunton, N. York, 1993 (first edition 1989). 1. A. Di Nola, S. Sessa, W. Pedrycz, E. Sanchez, Fuzzy Relational Equations and

Their Applications in Knowledge Engineering, Kluwer Academic Publishers, Dordrecht, 1989.

Edited Volumes (editor or co-editor) 2008 2. W. Pedrycz, A. Skowron, V. Kreinovich, Handbook of Granular

Computing, J. Wiley, Hoboken, NJ, 2008. 1. A. Abraham, C. Grosan, W. Pedrycz, Engineering Evolutionary Intelligent

Systems, Springer-Verlag, Berlin, 2008.

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2007 1. J. Valente de Oliveira, W. Pedrycz, Advances in Fuzzy Clustering and Its

Applications, John Wiley, Hoboken, NJ, 2007. 2006 1. O. Castillo, P. Mellin, J. Kacprzyk, W. Pedrycz, Hybrid Intelligent Systems.

Design and Analysis, Springer –Verlag, Berlin, 2006 2005 1. A. Vasilakos, W. Pedrycz, Ambient Intelligence, Wireless Networking, and

Ubiquitous Computing, Artech House, Boston, 2005. 2001 1. W. Pedrycz, Granular Computing: An Emerging Paradigm, Physica-Verlag,

Heidelberg, 2001. 2000 1. W. Pedrycz, A. V. Vasilakos, Computational Intelligence in

Telecommunications Networks, CRC Press, Boca Raton, Fl, 2000. 1998 2. W. Pedrycz, J. F. Peters, Computational Intelligence and Software Engineering,

World Scientific, Singapore, 1998.

1. E. Ruspini, P. Bonnisone, W. Pedrycz, Handbook of Fuzzy Computing, Oxford University Press/Institute of Physics Press, 1998.

1997 1. W. Pedrycz, Evolutionary Fuzzy Computation, Kluwer Academic Publishers,

Dordrecht, 1997. 1996 1. W. Pedrycz, Fuzzy Modelling: Paradigms and Practice, Kluwer Academic

Publishers, Dordrecht, 1996. Special Issues of Journals 2008 W. Pedrycz, R. Weber, Special issue on soft computing for dynamic data mining, Applied Soft Computing, to appear, online 26 March 2008 Papers in Edited Volumes 2007 4. M. D. Alexiuk, N. J. Pizzi, W. Pedrycz, Tuning FCMP to elicit novel time course

signatures in fMRI neural activation studies, In: P. Melin et al. (eds.): Analysis and Design of Intelligent. Systems using Soft Computing Technology, ASC 41, Springer-Verlag, 2007, 746–755.

3. D. Graves, W. Pedrycz, Fuzzy C-Means, Gustafson-Kessel FCM, and Kernel-based FCM: A comparative study, In: P. Melin et al. (eds.): Analysis and Design

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of Intelligent. Systems using Soft Computing Technology, ASC 41, Springer-Verlag, 2007, 141–149.

2. W. Pedrycz, G. Succi, Fuzzy logic classifiers and models in quantitative software engineering, In: D. Zhang and J.J.P. Tsai (eds.) Advances in Machine Learning Applications in Software Engineering, Idea Group Publ., 2007, 149-167.

1. W. Pedrycz, Structural interpolation and approximation with fuzzy relations: a study in knowledge reuse, In: P.P.Wang, D. Ruan, E.E. Kerre (eds.), Fuzzy Logic. A Spectrum of Theoretical and Practical Issues, Springer Verlag, 2007, 63-77.

2006 1. N.J. Pizzi, R.L. Somorjai, W. Pedrycz, Classifying biomedical spectra using

stochastic feature selection and parallelized multi-layer perceptrons, In: B. Bouchon-Meunier, G. Coletti, R.R. Yager (eds.), Modern Information Processing: From Theory to Applications, Elsevier, 2006, 383-393.

2005 3. W. Homenda, W. Pedrycz, Symmetrization of fuzzy operators: notes on data

aggregation, Studies in Computational Intelligence, Springer-Verlag, 1–17, 2005 2. H. Nobuhara, E. M. Iyoda, K. Hirota, W. Pedrycz, Optimization of image

compression method based on fuzzy relational equations by overlap level of fuzzy sets, Studies in Computational Intelligence,, Springer-Verlag, 163– 177, 2005.

1. S.K.Oh, J.J. Park, W. Pedrycz, T.C. Ahn, Design of information granules-based fuzzy systems using clustering algorithm and genetic optimization, AI 2005, LNAI 3809, pp. 1142 – 1145, 2005.

2004 2. W. Pedrycz, Knowledge-based networking in granular worlds, In: S.K. Pal,

L.Polkowski, A. Skowron (eds.), Rough-Neural Computing, Springer, Berlin, 2004, 109-138.

1. W. Pedrycz, G. Vukovich, Fuzzy cause-effect models of software testing, In: M. Last, A. Kandel, H. Bunke (eds.), Artificial Intelligence Methods in Software Testing, World Scientific, Singapore, 2004, 1-20.

2003 2. W. Pedrycz, Expressing relevance and interpretability of rule-based systems, In: J.

Casillas et al. (eds.), Interpretability Issues in Fuzzy Modeling, Springer Verlag, Berlin, 2003, 546- 567.

1. H. Nobuhara, Y. Takama, W. Pedrycz, K. Hirota, Lossy image compression and reconstruction based on fuzzy relational equations, In: Fuzzy Filters for Image Processing, M. Nachtegael et al. (eds.), Springer-Verlag, 2003, 339-355.

2002 2. W. Pedrycz, Granular Computing and pattern recognition, In: Soft Computing

Approach to Pattern Recognition and Image Processing, A. Ghosh, S.K. Pal, (eds.), World Scientific, Singapore, 2002, 235-250.

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1. W. Pedrycz, G. Vukovich, Collaborative agents in data exploration, In: Soft Computing Agents. A New Perspective for Dynamic Information Systems, V. Loia, (ed.), IOS Press, Amsterdam, 2002, 109-136.

2001 7. W. Pedrycz, Granular Computing in Data Mining, In: A. Kandel, M. Last, H.

Bunke (eds.), Data Mining and Computational Intelligence, Physica Verlag, Heidelberg, 2001, pp. 37-62

6. W. Pedrycz, The role of granular information in knowledge discovery in databases, In:,Knowledge Discovery for Business Information Systems, W. Abramowicz, J. Zurada, (eds.), Kluwer Academic Publishers, Boston, 2001, 275-306

5. Pedrycz W, Pizzi N. Fuzzy sets as a logic canvas for pattern recognition. In: Pattern Recognition: From Classical to Modern Approaches, S.K. Pal, (ed.), World Scientific, Singapore, 2001, 231–253.

4. W.Pedrycz, A. Skowron, Rough sets and fuzzy sets in data mining, In: Handbook of Knowledge Discovery & Data Mining, W. Zytkow, W. Klosgen, (eds.), Oxford University Press, 2001.

3. A.Nuernberger, W.Pedrycz, R.Kruse, Neural net approaches, In: Handbook of Knowledge Discovery & Data Mining, W. Zytkow, W. Klosgen, (eds.), Oxford University Press, 2001.

2. W. Pedrycz, Fuzzy sets perspective on data knowledge, In: Handbook of Knowledge Discovery & Data Mining, W. Zytkow, W. Klosgen, (eds.), Oxford University Press, 2001.

1. W.Pedrycz, Granular computing in data mining, In: Data Mining & Computational Intelligence, M. Last and A. Kandel, (eds.), Springer-Verlag, 2001.

Journal Papers 2008 16. W. Pedrycz, J. Valente de Oliveira, A development of fuzzy encoding and

decoding through fuzzy clustering, IEEE Transactions on Instrumentation and Measurement, 57, 4, 2008, 829 – 837.

15. W. Stach, L.A. Kurgan, W. Pedrycz, Numerical and linguistic prediction of time series with the use of fuzzy cognitive maps, IEEE Transactions on Fuzzy Systems, 16, 1, . 2008, 61 – 72.

14. A. Bargiela, W. Pedrycz, Toward a theory of Granular Computing for human-centered information processing, IEEE Transactions on Fuzzy Systems, 16, 2, 2008, 320 – 330.

13 R. Binti Abu Bakar, J. Watada, W. Pedrycz, DNA approach to solve clustering problem based on a mutual order, Biosystems, 91, 1, 2008, 1-12.

12. W. Pedrycz, H.S. Park, S.K. Oh, A granular-oriented development of functional radial basis function neural networks, Neurocomputing, to appear, available online 2 January 2008

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11. W. Pedrycz, K. Hirota, A consensus-driven fuzzy clustering, Pattern Recognition Letters, to appear, available online 4 March 2008

10. W. Pedrycz, P. Rai, Collaborative clustering with the use of Fuzzy C-Means and its quantification, Fuzzy Sets and Systems, to appear, available online 20 January 2008

9. J-N. Choi, S.K. Oh, W. Pedrycz, Identification of fuzzy models using a successive tuning method with a variant identification ratio, Fuzzy Sets and Systems, to appear, available online 18 January 2008

8. N. J. Pizzi, W. Pedrycz, Effective classification using feature selection and fuzzy integration, Fuzzy Sets and Systems, to appear, available online 20 March 2008

7. R. Dong, W. Pedrycz, A granular time series approach to long-term forecasting and trend forecasting, Physica A: Statistical Mechanics and its Applications, 387, 13, 2008, 3253-3270.

6. B. Apolloni, S. Bassis, D. Malchiodi, W. Pedrycz, Interpolating support information granules, Neurocomputing, , to appear, available online 7 May 2008

5. F. Yu, W. Pedrycz, The design of fuzzy information granules: Tradeoffs between specificity and experimental evidence, Applied Soft Computing, to appear, available online 22 April 2008

4. W. Pedrycz, J. Valente de Oliveira, Development of fuzzy encoding and decoding

through fuzzy clustering, IEEE Transactions on Instrumentation and Measurement, 2008, to appear.

3. S.K. Oh, W. Pedrycz, H.S. Park, Fuzzy relation-based neural networks and their hybrid identification, IEEE Transactions on Instrumentation and Measurement, 56, 6, 2008,2522-2537.

2. S.K. Oh, W. Pedrycz, K. J. Park, Structural developments of fuzzy systems with the aid of information granulation, Simulation Modelling Practice and Theory, 2008, to appear.

1. W. Pedrycz, A. Amato, V. Di Lecce, V. Piuri, Fuzzy clustering with partial supervision in organization and classification of digital images, IEEE Transactions on Fuzzy Systems, 2008, to appear.

2007 33. D. Graves, W. Pedrycz, Performance of kernel-based fuzzy clustering,

Electronics Letters, 43, 25, 2007, 1445 – 1446. 32. I. Kim, J. Watada, W. Pedrycz, A DNA-based algorithm for arranging weighted

cliques, Simulation Modelling Practice and Theory, to appear, available online 17 November 2007

31. W. Pedrycz, Statistically grounded logic operators in fuzzy sets, European Journal of Operational Research, to appear, available online 16 December 2007

30. V. Loia, W. Pedrycz, S. Senatore, Semantic Web content analysis: A study in proximity-based collaborative clustering, IEEE Transactions on Fuzzy Systems, 15, 6, 2007, 1294-1312.

29. P. Fazendeiro , J.V. de Oliveira, W. Pedrycz, A multi-objective design of a patient and anesthetist-friendly neuromuscular blockade controller, IEEE Transactions on Biomedical Engineering, 54, 9, 2007, 1667-1678.

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28. H.S. Park, W. Pedrycz, S.K. Oh, Evolutionary design of hybrid self-organizing fuzzy polynomial neural networks with the aid of information granulation, Expert Systems with Applications, 33, 4, 2007, 830-846

27. S.K. Oh, W. Pedrycz, K.J. Park, Structural developments of fuzzy systems with the aid of information granulation, Simulation Modelling Practice and Theory, 15, 10, 2007, 1292-1309.

26. B.J. Park, W. Pedrycz, S.K. Oh, An approach to fuzzy granule-based hierarchical polynomial networks for empirical data modeling in software engineering, Information and Software Technology, to appear, available online 1 October 2007

25. S.K. Oh, S.B. Roh, W. Pedrycz, T.C. Ahn, IG-based genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons, Neurocomputing, 70, 16-18, 2007, 2783-2798.

24. K.J. Park, W. Pedrycz, S.K. Oh, A genetic approach to modeling fuzzy systems based on information granulation and successive generation-based evolution method, Simulation Modelling Practice and Theory, 15, 9, 2007, 1128-1145.

23. V. Loia, W. Pedrycz, S. Senatore, M.I. Sessa, Interactive knowledge management

for agent-assisted web navigation, Int. J. of Intelligent Systems, 22, 2007, 1101-1122.

22. A. Farhangfar, L. Kurgan, W. Pedrycz, A novel framework for imputation of missing values in databases, IEEE Transactions on Systems, Man, and Cybernetics, part A, 37, 2007, 692-709.

21. H.S. Park, W. Pedrycz, S.K.Oh, Evolutionary design of hybrid self-organizing fuzzy polynomial neural networks with the aid of information granulation, Expert Systems with Applications, 33, 4, 2007, 830-846.

20. S.B. Roh, W. Pedrycz, S.K. Oh, Genetic optimization of fuzzy polynomial neural networks, IEEE Transactions on Industrial Electronics, 54, 4, 2007, 2219 – 2238.

19. K.C. Kwak, W. Pedrycz, Face recognition using an enhanced independent component analysis approach, IEEE Transactions on Neural Networks,18, 2, 2007, 530 – 541.

18. R.B.A. Bakar, J. Watada, W. Pedrycz, DNA approach to solve clustering problem based on a mutual order, Biosystems, Available online 23 June 2007,

17. A.F.Gobi, W. Pedrycz, Fuzzy modelling through logic optimization, International Journal of Approximate Reasoning, 45, 2007, 488–510

16. A. F. Gobi,W. Pedrycz, Logic minimization as an efficient means of fuzzy structure discovery, IEEE Transactions on Fuzzy Systems, 2007, to appear [15 pages]

15. M. Purnaprajna, M. Reformat, W. Pedrycz, Genetic algorithms for hardware–software partitioning and optimal resource allocation, Journal of Systems Architecture 53, 2007, 339–354.

14. W. Pedrycz, K.C. Kwak, The development of incremental models, IEEE Trans. on Fuzzy Systems, 15, 3, 2007, 507-518

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13. W. Pedrycz, Genetic tolerance fuzzy neural networks: From data to fuzzy hyperboxes, Neurocomputing 70, 2007, 1403–1413.

12. W. Pedrycz, Granular Computing - The emerging paradigm, Journal of Uncertain Systems 1, 1, 2007, 38-61

11. W. Pedrycz, Distributed and collaborative fuzzy modeling, Iranian J. of Fuzzy Systems, 4, 1, 2007, 1-19.

10. W. Pedrycz, K. Hirota, Forming consensus in the networks of knowledge, Engineering Applications of Artificial Intelligence 20, 2007, 657–666

9. W. Pedrycz, K. Hirota, Fuzzy vector quantization with the particle swarm optimization: A study in fuzzy granulation–degranulation information processing, Signal Processing 87, 2007, 2061–2074

8. H.S. Park, W.Pedrycz, S.K. Oh, Evolutionary design of hybrid self-organizing fuzzy polynomial neural networks with the aid of information granulation, Expert Systems with Applications 33, 2007, 830–846.

7. N. Wing, A. Dorado, D. S.Yeung, W. Pedrycz, E. Izquierdo, Image classification with the use of radial basis function neural networks and the minimization of the localized generalization error, Pattern Recognition 40, 2007, 19 – 32.

6. X. Liu, W. Pedrycz, The development of fuzzy decision trees in the framework of Axiomatic Fuzzy Set logic, Applied Soft Computing 7, 2007, 325–342.

5. A. Bargiela, W. Pedrycz, T. Nakashima, Multiple regression with fuzzy data, Fuzzy Sets and Systems, 158, 19, 2007, 2169-2188.

4. S.K. Oh, S.B. Roh, W. Pedrycz, T.C. Ahn, IG-based genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons, Neurocomputing, 2007, to appear. [16 pages]

3. Y. Li, W. Pedrycz, Minimization of lattice finite automata and its application to the decomposition of lattice languages, Fuzzy Sets and Systems 158, 2007, 1423 – 1436

2. G. Bortolan, W. Pedrycz, Hyperbox classifiers for arrhythmia classification Kybernetes, 36 3/4, 2007, 531-547

1. E. Kim, W. Pedrycz, Information granulation as a basis of fuzzy modeling, Journal of Intelligent & Fuzzy Systems 18, 2007, 123–148

2006 29. W. Pedrycz, K. Hirota, Uninorm-based logic neurons as adaptive and

interpretable processing constructs, Soft Computing, 11, 2006, 41-52.

28. A. F. Gobi,W. Pedrycz, The potential of fuzzy neural networks in the realization of approximate reasoning engines, Fuzzy Sets and Systems 157, 2006, 2954 – 2973

27. X. Liang, W. Pedrycz, Fuzzy logic-based networks: A study in logic data interpretation, Int. J. of Intelligent Systems, 21, 2006, 1249–1267

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26. G. Alvarado, W. Pedrycz, M. Reformat, K.C. Kwak, Deterioration of visual information in face classification using Eigenfaces and Fisherfaces, Machine Vision and Applications, 17, 1, 2006, 68-82

25. A. Ciaramella, R. Tagliaferri, W. Pedrycz, A. Di Nola, Fuzzy relational neural network, International Journal of Approximate Reasoning, 41, 2006, 146–163

24. A. Bouchachia, W. Pedrycz, Data clustering with partial supervision, Data Mining and Knowledge Discovery, 12, 47–78, 2006

23. A. Dorado, D. Djordjevic, W. Pedrycz, E. Izquierdo, Efficient image selection for concept learning, IEE Proc.-Vis. Image Signal Process., 153, 3, 2006, 263-272

22. S.K. Oh, W. Pedrycz, Multi-layer self-organizing polynomial neural networks and their development with the use of genetic algorithms, Journal of the Franklin Institute 343, 2006, 125–136

21. S.K. Oh, W. Pedrycz, Genetic optimization-driven multi-layer hybrid fuzzy neural networks, Simulation Modelling Practice and Theory 14, 2006, 597–613

20. A. Staiano, R. Tagliaferri, Witold Pedrycz, Improving RBF networks performance in regression tasks by means of a supervised fuzzy clustering, Neurocomputing 69, 2006, 1570–1581

19. H. Nobuhara, W. Pedrycz, S. Sessa, K. Hirota, A motion compression/reconstruction method based on max t-norm composite fuzzy relational equations, Information Sciences 176, 2006, 2526–2552

18. S.K. Oh, W. Pedrycz, H.S. Park, Genetically optimized fuzzy polynomial neural networks, IEEE Transactions on Fuzzy Systems, 14, 1,2006, 125-144

17. A. Bouchachia,W. Pedrycz, Enhancement of fuzzy clustering by mechanisms of partial supervision, Fuzzy Sets and Systems 157, 2006, 1733 – 1759

16. S.K.Oh, W. Pedrycz, B.J. Park, Multilayer hybrid fuzzy neural networks: synthesis via technologies of advanced Computational Intelligence, IEEE Transactions on Circuits and Systems I, 53, 3, 2006, 688-703.

15. W. Pedrycz, K.C. Kwak, Linguistic models as a framework of user-centric system modeling, IEEE Transactions on Systems, Man, and Cybernetics- part A, 36, 4, 2006, 727- 745.

14. W. Pedrycz, M. Reformat, K. Li, OR/AND neurons and the development of interpretable logic models, IEEE Transactions on Neural Networks, 17, 3, 2006, 636-658.

13. S.K.Oh, W. Pedrycz, B.J. Park, Multilayer hybrid fuzzy neural networks: synthesis via technologies of advanced Computational Intelligence, IEEE Transactions on Circuits and Systems I, 53, 3, 2006, 688-703.

12. S.K. Oh, W. Pedrycz, H.S. Park, Genetically optimized fuzzy polynomial neural networks, IEEE Transactions on Fuzzy Systems, 14, 1,2006, 125-144

11. A. Bouchachia,W. Pedrycz, Enhancement of fuzzy clustering by mechanisms of partial supervision, Fuzzy Sets and Systems 157, 2006, 1733 – 1759

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10. S. Mitra, H. Banka, W. Pedrycz, Rough–fuzzy collaborative clustering, IEEE Trans on Systems, Man, and Cybernetics, part B, 36, 4, 2006, 795- 805

9. W. Pedrycz, Logic-based fuzzy neurocomputing with unineurons, IEEE Trans. on Fuzzy Systems, 14, 6, 2006, 860-873

8. A. Gacek, W. Pedrycz, A Granular description of ECG signals, IEEE Trans. on Biomedical Engineering, 53, 10, 2006, 1972-1982

7. S.K. Oh, W. Pedrycz, H.S. Park, A New approach to the development of genetically optimized multilayer fuzzy polynomial neural networks, IEEE Trans. on Industrial Electronics, 53, 4, 2006, 1309-1321

6. W. Pedrycz, Quantitative logic-based framework for agile methodologies, Journal of Systems Architecture 52, 2006, 700–707

5. W. Pedrycz, K.C. Kwak, Boosting of granular models, Fuzzy Sets and Systems 157, 2006, 2934 – 2953.

4. A. Janes, M. Scotto, W. Pedrycz, B. Russo, M. Stefanovic, G. Succi, Identification of defect-prone classes in telecommunication software systems using design metrics, Information Sciences 176, 2006, 3711–3734.

3. V. Loia, W. Pedrycz, S. Senatore, M. Sessa, Web navigation support by means of proximity-driven assistant agents, Journal of the American Society for Information Science and Technology, 2, 2006, 515-525

2. B.J. Park, W. Pedrycz, S.K. Oh, Fuzzy polynomial neurons as neurofuzzy processing units, Neural Computing and Applications, 15, 2006, 310-327.

1. Y. Li, W. Pedrycz, The equivalence between fuzzy Mealy and fuzzy Moore machines Soft Computing, 10, 2006, 953–959

2005 25. A. Bargiela, W. Pedrycz, Granular mappings, IEEE Transactions on Systems,

Man, and Cybernetics-part A, 35, 2, 2005, 292-297.

24. M. Painho, A. V. Vasilakos, F. Baco, W. Pedrycz, Exploring spatial data through computational intelligence: a joint perspective, Soft Computing, 9, 2005, 326-331.

23. M. Jeon, M. Alexander, W. Pedrycz, N. Pizzi, Unsupervised hierarchical image segmentation with level set and additive operator splitting, Pattern Recognition Letters, 26, 2005, 1461-1469.

22. W. Pedrycz, A. Breuer, N. Pizzi, Fuzzy adaptive logic networks as hybrid models of quantitative software engineering, Intelligent Automation and Soft Computing, vol. 11, 2005, 1-21

21. A. Bargiela, W. Pedrycz, A model of granular data: a design problem with the Tchebyschev FCM, Soft Computing, 9, 2005,155–163

20. D. Li, W. Pedrycz, N. Pizzi, Fuzzy wavelet packet based feature extraction method and its applications to biomedical signal classification, IEEE Trans. on Biomedical Engineering, 52, 6, 2005, 1132-1139.

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19. H. Nobuhara, K. Hirota, S. Sessa, W. Pedrycz, Efficient decomposition methods of fuzzy relation and their application to image decomposition, Applied Soft Computing, 5, 2005, 399-408.

18. W. Pedrycz, Z. Sosnowski, Genetically optimized fuzzy decision trees, IEEE Trans. on Systems, Man and Cybernetics – Part B, 35, 3, 2005, 633-641.

17. W. Pedrycz, G. Succi, Genetic granular classifiers in modeling software quality, J. of Systems and Software, 76, 2005, 277-285.

16. S.K. Oh, W. Pedrycz, H.S. Park, Multi-layer hybrid fuzzy polynomial neural networks: a design in the framework of computational intelligence, Neurocomputing, 64, 2005, 397-431.

15. W. Pedrycz, M. Reformat, Genetically optimized logic models, Fuzzy Sets & Systems, 150, 2005, 351-371.

14. M. Ronchetti, G. Succi, W. Pedrycz, B. Russo, Early estimation of software size in object-oriented environments a case study in a CMM level 3 software firm, Information Sciences, 176, 2005, 3711-3734.

13. K.C. Kwak, W. Pedrycz, Face recognition using a fuzzy fisherface classifier, Pattern Recognition, 38, 2005, 1717-1732.

12. K.C. Kwak, W. Pedrycz, Face recognition: a study in information fusion using fuzzy integral, Pattern Recognition Letters, 26, 2005, 719-733.

11. H. Nobuhara, W. Pedrycz, K. Hirota, Relational image compression: optimizations through the design of fuzzy coders and YUV color space, Soft Computing, 9, 2005, 471-479.

10. S. Han, W. Pedrycz, C. Han, Nonlinear channel blind equalization using hybrid genetic algorithm with simulated annealing, Mathematical and Computer Modeling, 41, 2005, 697-709.

9. G. Succi, W. Pedrycz, S. Djokic, P. Zuliani, B., Russo, An empirical exploration of the distributions of the Chidamber and Kemerer object-oriented metrics suite, Empirical Software Engineering, 10, 2005, 81-103.

8. Y. Li, W. Pedrycz, Fuzzy finite automata and fuzzy regular expressions with membership values in lattice-ordered monoids, Fuzzy Sets and Systems 156, 2005, 68–92.

7. W. Stach, L. Kurgan, W. Pedrycz, M. Reformat, Genetic learning of fuzzy cognitive maps, Fuzzy Sets and Systems 153 , 2005, 371–401.

6. S.K. Oh, W. Pedrycz, A new approach to self-organizing fuzzy polynomial neural networks guided by genetic optimization, Physics Letters A 345, 2005, 88–100.

5. W. Homenda, W. Pedrycz, Balanced fuzzy computing unit, Int. J. of Uncertainty, Fuzziness and Knowledge-Based Systems, 13, 2, 2005, 117-138.

4. H. Nobuhara, K. Hirota, F. Di Martino, W. Pedrycz, Fuzzy relation equations for compression/decompression processes of colour images in the RGB and YUV colour spaces, Fuzzy Optimization and Decision Making, 4, 235–246, 2005.

3. Y. Li, D. Li, W. Pedrycz, J. Wu, An approach to measure the robustness of fuzzy reasoning, Int. J. of Intelligent Systems, 20, 2005, 393-413.

2. W. Pedrycz, Z. Sosnowski, C-fuzzy decision trees, IEEE Trans. on Systems, Man, and Cybernetics, part C, 35, 4, 2005, 498-511.

1. A. Ciaramella, R. Tagliaferri, W. Pedrycz, The genetic development of ordinal sums, Fuzzy Sets & Systems, 151, 2005, 303-325.

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2004 19. P. Brzeminski, W. Pedrycz, Textual-based fuzzy clustering of Web documents,

Int. J. of Uncertainty, Fuzziness and Knowledge-based Systems, 12, 6, 2004, 715-743.

18. T. Vasilakos, V. Devedzic, Kinshuk, W. Pedrycz, Computational Intelligence in Web-Based education: a tutorial, Int. J. of Interactive Learning Research, 15, 4, 2004, 299-318.

17. W. Stach, L. Kurgan, W. Pedrycz, M. Reformat, Learning fuzzy cognitive maps with required precision using genetic algorithm approach, Electronics Letters, 40, 24, 2004.

16. K.C. Kwak, W. Pedrycz, Face recognition using fuzzy integral and wavelet decomposition method, IEEE Trans.on Systems, Man, and Cybernetics – part B, 34, 4, 2004, 1666-1675.

15. A. Bargiela, W. Pedrycz, K. Hirota, Granular prototyping in fuzzy clustering, IEEE Trans. on Fuzzy Systems, 12, 5, 2004, 697-709.

14. H. Nobuhara, K. Hirota, W. Pedrycz, S. Sessa, Two iterative methods of decomposition of a fuzzy relation for image compression/decompression processing, Soft Computing, 8, 2004, 698-704.

13. W. Pedrycz, G. Vukovich, Noninvasive data analysis: a web of information granules, Soft Computing, 8, 2004, 657-662.

12. A. Bargiela, W. Pedrycz, M. Tanaka, An inclusion/exclusion fuzzy hyperbox classifier, Int. J. Knowledge-based and Intelligent Engineering Systems, 8, 2, 2004, 91-98.

11. K.C. Kwak, W. Pedrycz, H.J. Go, M.G. Chun, Fuzzy aggregation method using fisherface and wavelet decomposition for face recognition, J. of Advanced Computational Intelligence and Intelligent Informatics, vol.8, no.4, 2004, 379- 384.

10. K.C. Kwak, W. Pedrycz, Face recognition using fuzzy integral and wavelet decomposition method, IEEE Trans on Systems, Man and Cybernetics, part B, vol. 34, no.4, 2004, 1666-1675.

9. W. Pedrycz, A.Breuer, N.J. Pizzi, Genetic design of feature spaces for pattern recognition, Artificial Intelligence in Medicine, 32, 2004, 115-125.

8. S.K. Oh, W. Pedrycz, B.J. Park, Self-organizing neurofuzzy networks in modeling software data, Fuzzy Sets & Systems, 145, 2004, 165-181.

7. S.K. Oh, W. Pedrycz, S.K. Rho, T.C. Ahn, Parameter estimation of fuzzy controller and its application to inverted pendulum, Engineering Applications of Artificial Intelligence, 17, 2004, 37-60.

6. W. Pedrycz, G. Vukovich, Fuzzy clustering with supervision, Pattern Recognition, 37, 2004,1339-1349.

5. W. Pedrycz, Fuzzy clustering with a knowledge-based guidance, Pattern Recognition Letters, 25, 2004, 469-480.

4. W. Pedrycz, Logic-driven fuzzy modeling with fuzzy multiplexers, Engineering Applications of Artificial Intelligence, 17, 2004, 383-391.

12

3. W. Pedrycz, Associations and rules in data mining: a link analysis, Int. J. of Intelligent Systems, vol.19, no.7, 2004, 653-670.

2. S.K.Oh, D.K. Lee, W. Pedrycz, D.H. Kim. The genetic design of hybrid fuzzy controllers, Int. Journal of Cybernetics & Systems, 35, 2004, 333-361.

1. W. Pedrycz, V. Loia, S. Senatore, P-FCM: a proximity-based fuzzy clustering, Fuzzy Sets and Systems, 148, 2004, 21-41.

2003 26. S.K. Oh, W. Pedrycz, H.S. Park, Multi-FNN identification based on HFC

clustering and evolutionary fuzzy granulation, Simulation Modeling. Practice and Theory, 11, 2003, 627-642

25. R. Brouwer, W. Pedrycz, Set oriented mappings on neural networks, Soft Computing, 8, 2003, 28-37.

24. W. Pedrycz, M.G. Chun, G.Succi, N4: computing with neural receptive fields, Neurocomputing, 55, 2003, 383-401.

23. A. Vasilakos, M.P. Saltouros, A.F. Atlassis, W. Pedrycz, Optimizing QoS routing in hierarchical ATM networks using Computational Intelligence techniques, IEEE Trans. on Systems, Man, and Cybernetics –Part C, vol. 33, no.3, 2003, 297-312.

22. A. Bargiela, W. Pedrycz. K. Tanaka, A study of uncertain state estimation, IEEE Trans. on Systems, Man, and Cybernetics, part A, vol.33, no.3, 2003, 288 –301.

21. S.K.Oh, W. Pedrycz, H.S. Park, Rule-based multi FNN identification with the aid of evolutionary fuzzy granulation, Knowledge-Based Systems, 17, 2004,1-13.

20. V. Loia, W. Pedrycz, S. Senatore, P-GCM: a proximity based fuzzy clustering for user-centered web applications, Int. J. of Approximate Reasoning, 34, 2003, 121-144.

19. A. Bargiela, W. Pedrycz, M. Tanaka, A study of uncertain state estimation, IEEE Trans on Systems, Man, and Cybernetics, Part A, vol.33, no.3, 2003, 288- 301.

18. A. Gacek, W. Pedrycz, A genetic segmentation of ECG signals, IEEE Trans. On Biomedical Engineering, vol.50, no.10, 2003, 1203-1208.

17. W.Pedrycz, G. Vukovich, Granular words: representation and communication problems, Int. J. of Intelligent Systems, 15,2003,1015-1026.

16. W. Pedrycz, G. Vukovich, Representation and propagation of information granules in rule-based computing, J. of Advanced Computational Intelligence, 4,2003, 102-110.

15. W. Pedrycz, M. Reformat, Evolutionary fuzzy modeling, IEEE Trans. on Fuzzy Systems, vol.11, no. 5, 2003, 652-665.

14. W. Pedrycz, A. Bargiela, Fuzzy fractal dimensions and fuzzy modeling, Information Sciences, 153, 2003, 199-216.

13. A. Bargiela, W. Pedrycz, Recursive information granulation: aggregation and interpretation issues, IEEE Trans. on Systems, Man, and Cybernetics, Part B, 33, 2003, 96-112.

12. W. Pedrycz, H. Camargo, Fuzzy Petri nets, Fuzzy Sets & Systems, 140, 2003, 301-330.

11. S.K. Oh, W. Pedrycz, Self-organizing polynomial neural networks based on PNs or FPNs: analysis and design, Fuzzy Sets and Systems, 142, 2003, 163-198.

13

10. G. Succi, W. Pedrycz, M. Stefanovic, J. Miller, Practical assessment of the models for identification of defect-prone classes in object-oriented commercial systems using design metrics, J. of Systems and Software, 65, 2003, 1-12.

9. S.K. Oh, W. Pedrycz, Fuzzy polynomial neuron-based self-organizing neural networks, Int. J. General Systems, 32, 2003, 237-250.

8. S.K. Oh, W. Pedrycz, B.J. Park, Self-organizing neurofuzzy networks based on evolutionary fuzzy granulation, IEEE Trans. on Systems, Man, and Cybernetics, part A, vol. 33, no.2, 2003, 271-277.

7. G. Succi, W. Pedrycz, M. Stefanovic, B. Russo, An investigation on the occurrence of service requests in commercial software applications, Empirical Software Engineering, 8, 2003, 197-215.

6. M. Reformat, W. Pedrycz, N. Pizzi, Software quality analysis with the use of computational intelligence, Information and Software Technology, 45, 2003, 405-417.

5. J.F. Peters, Z. Suraj, S. Shan, S. Ramanna, W. Pedrycz, N. Pizzi, Classification of meteorological volumetric radar data using rough set methods, Pattern Recognition Letters, 24, 2003, 911-920.

4. R. Brouwer, W. Pedrycz, training a feed-forward network with incomplete data due to missing input variables, Applied Soft Computing, 3, 2003, 23-36.

3. S. Roychowdhury, W. Pedrycz, an alternative characterization of fuzzy complement functional, Soft Computing, 7, 2003, 563-565.

2. S.K. Oh, W. Pedrycz, H.S. Park, Hybrid identification in fuzzy neural networks, Fuzzy Sets & Systems, 138, 2003, 399-426.

1. S. K. Oh, W. Pedrycz, B.J. Park, Polynomial neural networks architecture: analysis and design, Computers and Electrical Engineering, 29, 2003, 703-725.

2002 20. W. Pedrycz, A. Gacek, Temporal granulation and its application to signal

analysis, Information Sciences, 143, 2002, 47-71. 19. K. Hirota, W. Pedrycz, Data compression with fuzzy relational equations, Fuzzy

Sets & Systems, 126, 2002, 325-335. 18. W. Pedrycz, G. Vukovich, Feature analysis through information granulation and

fuzzy sets, Pattern Recognition, 35, 2002, 825-834. 17. W. Pedrycz, Computational Intelligence and visual computing: an emerging

technology for software engineering, Soft Computing, 7, 2002, 33-44. 16. W. Pedrycz, G. Vukovich, On elicitation of membership functions, IEEE Trans.

on Systems, Man, and Cybernetics, Part B, 32, 2002, 761-767. 15. G. Bortolan, W. Pedrycz, Fuzzy descriptive models: an interactive framework of

information granulation, IEEE Transactions on Fuzzy Systems, 10, 6, 2002, 743 - 755

14. S.K. Oh, W. Pedrycz, T.C. Ahn, Self-organizing neural networks with fuzzy polynomial neurons, Applied Soft Computing, 2, 2002, 1-10.

13. W. Pedrycz, G. Succi, O. Shai, Genetic-fuzzy approach to the Boolean satisfiability problem, IEEE Trans. on Evolutionary Computation, 6, 2002, 519-525.

14

12. S.K. Oh, W. Pedrycz, The design of hybrid fuzzy controllers based on genetic algorithms and estimation techniques, Kybernetes, 31, 2002, 909-917.

11. A. Bargiela, W. Pedrycz, K. Hirota, Data granulation through optimization of similarity measure, Archives of Control Sciences, 12, 2002, 469-491.

10. G. Bortolan, W. Pedrycz, An interactive framework for an analysis of ECG signals, Artificial Intelligence in Medicine, 24, 2002, 109-132.

9. W. Pedrycz, Collaborative fuzzy clustering, Pattern Recognition Letters, 23, 2002, 1675-1686.

8. B.J.. Park, W.Pedrycz, S.K Oh, Fuzzy polynomial neural networks: hybrid architectures of fuzzy modeling, IEEE Trans. on Fuzzy Systems, 10, 2002, 607-621.

7. A. Bargiela, W. Pedrycz, Recursive information granulation: aggregation and interpretation issues, IEEE Trans. on Systems, Man and Cybernetics, part B,33, 2002, 96-112.

6. S.K. Oh, W. Pedrycz, H.S. Park, Self-organizing networks in modeling experimental data in software engineering, IEE Proc Computers and Digital Techniques, 148, 2002, 406-418.

5. W. Pedrycz, Relational and directional aspects in the construction of information granules, IEEE Trans. on Systems, Man, and Cybernetics-part A, 32, 2002, 605-614.

4. S.K. Oh, W. Pedrycz, The design of self-organizing polynomial neural networks, Information Sciences, 141, 2002, 237- 258.

3. W. Pedrycz, A. Bargiela, Granular clustering: a granular signature of data, IEEE Trans. on Systems, Man and Cybernetics, part B, vol.32, no.2, 2002, 212-224.

2. W. Pedrycz, G. Vukovich, Feature analysis through information granulation and fuzzy sets, Pattern Recognition, 35, 2002, 825-834

1. G. Succi, W.Pedrycz, R. Wong, Dynamic composition of components using WebCODS, Int. J. of Computers and Applications, 24, 1, 2002, 20-27.

2001 12. W. Pedrycz, Z. Sosnowski, The design of decision trees in the framework of

granular data and their applications to software quality models, Fuzzy Sets & Systems, 123, 2001, 271-290.

11. W. Pedrycz, G. Vukovich, Logic oriented fuzzy clustering, Pattern Recognition Letters, 23, 2001, 1515-1527.

10. W. Pedrycz, A. Gacek, Information granulation and signal quantization, Kybernets, 1, 2001, 179-192

9. W.Pedrycz, L.Han., J.F. Peters, S. Ramanna, R. Zhai, Calibration of software quality: fuzzy neural and rough neural computing approaches, Neurocomputing, 36, 2001, 149-170.

8. A.V. Vasilakos, K.G. Anagnostakis, W. Pedrycz, Application of computational intelligence techniques in active networks, Soft Computing, 5, 2001, 264-271.

7. W. Pedrycz, A. Gacek, Learning of fuzzy automata, Int.J. of Computational Intelligence and Applications, 1, 2001, 19-33

6. W. Pedrycz, Fuzzy equalization in the construction of fuzzy sets, Fuzzy Sets & Systems, 119, 2001, 329-335

15

5. W. Pedrycz, K. Hirota, S. Sessa, A decomposition of fuzzy relations, IEEE Trans on Systems, Man, and Cybernetics, part B, 4, 2001, 657-662.

4. W.Pedrycz, G. Succi, P. Musilek, X. Bai, Using self-organizing maps to analyze object-oriented measures, J.of Systems and Software, 59, 2001, 65-82

3. S. Roychowdhury, W. Pedrycz, A survey of defuzzification strategies, Int. J. of Intelligent Systems, 16, 2001, 679-695.

2. W. Pedrycz, G. Vukovich, Granular neural networks, Neurocomputing, 36, 2001,205-224

1. G. Succi, W. Pedrycz, E. Liu, J. Yip, Package-oriented software engineering: a generic architecture, IEEE IT Pro, 3, 2, 2001, 29-36.

2000 8. S.Oh, W. Pedrycz, Identification of fuzzy systems by means of an autotuning

algorithm and its application to nonlinear systems, Fuzzy Sets & Systems, 115,2000, 205-230

7. H. Nobuhara, W. Pedrycz, K. Hirota, Fast solving method of fuzzy relational equation and its application to lossy image compression/reconstruction, IEEE Trans. on Fuzzy Systems, 2000, vol. 8, no. 3, 325-335

6. W.Pedrycz, Fuzzy relational equations: bridging theory, methodology and practice, Int. J. General Systems, vol 29, 2000, 529-554.

5. W.Pedrycz, G. Vukovich, Investigating a relevance of fuzzy mappings, IEEE Trans. on Systems Man and Cybernetics, 2000, vol. 30, no. 2, 249-262

4. K.S. Oh, W. Pedrycz, Identification of fuzzy systems by means of an auto-tuning algorithm and its application to nonlinear systems, Fuzzy Sets & Systems, 115, 2000, 115-134.

3. W. Pedrycz, Z.A. Sosnowski, Designing decision trees with the use of fuzzy granulation, IEEE Trans. on Systems Man and Cybernetics, 2000, vol.30, no.2, 151-159.

2. W. Pedrycz, G. Vukovich, Abstraction and specialization of information granules, IEEE Trans. on Systems Man and Cybernetics part B, 31, 2000,106-111.

1. W.Pedrycz, A.V. Vasilakos, Linguistic models and linguistic modeling, IEEE Trans. on Systems Man and Cybernetics, 1999, vol. 29, no. 6, 745-757.

1999 8. W.Pedrycz, G. Vukovich, System modeling with fuzzy plug-ins, Kybernetes, 4,

1999, 473-490. 7. K. Hirota, W. Pedrycz, Fuzzy sets in data mining, Proc. of the IEEE, 87, 1999,

1575-1600. 6. W. Pedrycz, G. Vukovich, Data-based design of fuzzy sets, Journal of Fuzzy

Logic and Intelligent Systems, Vol. 9, No. 3, 1999, 255-263. 5. W. Pedrycz, Generalized fuzzy Petri nets as pattern classifiers, Pattern

Recognition Letters, 20, 1999, 1489-1498.

4. K. Hirota, W. Pedrycz, Fuzzy relational compression, IEEE Trans. on Systems, Man, and Cybernetics, vol. 29, no. 3, 1999, 407- 415.

16

3. T. Furuhashi, H. Yamamoto, J. Peters, W. Pedrycz, Fuzzy control stability analysis using a generalized fuzzy Petri net model, J. of Advanced Computational Intelligence, vol. 3, no. 2, 1999,99-105.

2. K. Hirota, W. Pedrycz, Specificity shift in solving fuzzy relational equations, Fuzzy Sets & Systems, 106, 1999, 211-220.

1. W. Pedrycz, E. Roventa, from fuzzy information processing to fuzzy communication channels, Kybernetes,28, 1999, 515-526.

1998 11. M. Reformat, E. Kuffel, D. Woodford, W. Pedrycz, Application of genetic

algorithms for control design in power systems, IEE Proc. (Generation, Transmission and Distribution), vol. 25, no.4, 1998, 345-354.

10. G. Bortolan, W. Pedrycz, Fuzzy clustering preprocessor in neural classifiers, Kybernetes, 27, 1998, 900-918.

9. W. Pedrycz, Conditional fuzzy clustering in the design of radial basis function neural networks, IEEE Trans. on Neural Networks, 9, 1998, 601- 612.

8. W. Pedrycz, J. C. Bezdek, R. J. Hathaway, G.W. Rogers, A non- parametric model for fusing heterogeneous data, IEEE Trans. on Fuzzy Systems, 6, 1998, 411-425.

7. W. Pedrycz, Fuzzy evolutionary computing, J. of Soft Computing, 2, 1998, 61-72.

6. W.Pedrycz, Optimization schemes for decomposition of fuzzy relations, Fuzzy Sets & Systems, 100, 1998,301-326.

5. P. Ekel, W. Pedrycz, R. Schinzinger, A general approach to solving a wide class of fuzzy optimization problems, Fuzzy Sets & Systems, 97, 1998, 49-66.

4. K.Hirota, W. Pedrycz, Implicitly - supervised learning and its application to fuzzy pattern classifiers, Information Sciences, 106, 1998, 71-85.

3. W. Pedrycz, Z. A. Sosnowski, Fuzzy object - oriented system design, Fuzzy Sets and Systems, 99, 1998, 121-134.

2. W. Pedrycz, Fuzzy set technology in knowledge discovery, Fuzzy Sets & Systems, 3, 1998,279-290.

1. W. Pedrycz, Shadowed sets: representing and processing fuzzy sets, IEEE Trans. on Systems, Man, and Cybernetics, part B, 28, 1998, 103-109.

1997 10. W. Pedrycz, Fuzzy sets in pattern recognition: accomplishments and challenges,

Fuzzy Sets & Systems, 2, 1997, 171-176. 9. K. Hirota, W. Pedrycz, Nonmonotonic fuzzy set operations: a generalization and

some applications, Int. J. Intelligent Systems, 7, 1997, 483 - 493. 8. W. Pedrycz, Neural networks and uncertainty: A study in system interfaces,

Neural, Parallel & Scientific Computations, 5, 1997, 495-510. 7. W. Pedrycz, M. Reformat, Rule-based modelling of nonlinear relationships, IEEE

Trans. on Fuzzy Systems, 2, 1997, 256 - 269. 6. G. Bortolan, W. Pedrycz, Reconstruction problem and information granularity,

IEEE Trans. on Fuzzy Systems, 2, 1997, 234 - 248.

17

5. W. Pedrycz, J. Waletzky, Fuzzy clustering with partial supervision, IEEE Trans. on Systems, Man, and Cybernetics, 5, 1997, 787-795.

4. W. Pedrycz, J. Waletzky, Fuzzy clustering in software reusability, SOFTWARE: PRACTICE & EXPERIENCE, 27, 1997, 245 - 270.

3. W. Pedrycz, J. Waletzky, Neural network front-ends in unsupervised learning, IEEE Trans. on Neural Networks, 8, 1997, 390-401.

2. W. Pedrycz, M. Reformat, Rule-based models of multivariable functions, Fuzzy Sets & Systems,3, 1997, 235-254.

1. W. Pedrycz, R. Gudwin, F. Gomide, Nonlinear context adaptation in the calibration of fuzzy sets, Fuzzy Sets & Systems, 88, 1997, 91-97.

1996 9. W. Pedrycz, Fuzzy multimodels, IEEE Trans. on Fuzzy Systems, 4, 1996, 139 -

148. 8. R. Hathaway, J. C. Bezdek, W. Pedrycz, A parametric model for fusing

heterogeneous fuzzy data, IEEE Trans. on Fuzzy Systems, 4, 1996, 270 - 281. 7. Y. Nakagawa, K. Hirota, W. Pedrycz, Fuzzy knowledge base for dynamic image

understanding, Pattern Recognition Letters, 17, 1996, 601 - 606. 6. H. Scarpelli, F. Gomide, W Pedrycz, Modeling fuzzy reasoning using high level

fuzzy Petri nets, Int. J. of Uncertainty, Fuzziness and Knowledge-based Systems, 1, 1996, 61 - 85.

5. W. Pedrycz, Classification of relational patterns as a decomposition problem, Pattern Recognition Letters,17, 1996, 91 - 99.

4. W. Pedrycz, Interfaces of fuzzy models: a study in fuzzy information processing, Information Sciences,90, 1996, 231-280.

3. W. Pedrycz, Conditional FUZZY C - Means, Pattern Recognition Letters, 17, 1996, 625 - 632.

2. K. Hirota, W. Pedrycz, Solving fuzzy relational equations through logical filtering, Fuzzy Sets & Systems, 81, 1996, 355 - 364.

1. K. Hirota, W. Pedrycz, Directional fuzzy clustering and its application to fuzzy modelling, Fuzzy Sets & Systems, 3, 1996, 315 - 326.

1995 10. Z. Zhang, R. D. McLeod, W. Pedrycz, Augmenting scan path SRLs with an XOR

network to enhanced delay fault testing, J. of Microelectronic Systems Integration, 3, 1995, 97 - 108.

9. A. Di Nola, W. Pedrycz, S. Sessa, Fuzzy relational structures: The state of art, Fuzzy Sets & Systems, 75, 1995, 241 - 262.

8. W. Pedrycz, C. H. Poskar, P. Czezowski, A reconfigurable fuzzy neural network with in-situ learning, IEEE Micro Magazine, August 1995, 19 - 30.

7. W. Pedrycz, J. Valente de Oliveira, Optimization of fuzzy models, IEEE Trans. on Systems, Man, and Cybernetics-part B, 26, 1995,627-636.

6. W. Pedrycz, J. Valente de Oliveira, An algorithmic framework for development and optimization of fuzzy models, Fuzzy Sets & Systems, 80, 1996, 37-55.

5. W. Pedrycz, P. Lam, A.F. Rocha, Distributed fuzzy modelling, IEEE Trans. on Systems, Man and Cybernetics-part B, 5, 1995, 769 - 780.

18

4. K. Hirota, W. Pedrycz, A fuzzy modelling environment for designing fuzzy controllers, Fuzzy Sets & Systems, 2-3, 1995, 287 - 302.

3. K. Hirota, W. Pedrycz, D - fuzzy clustering, Pattern Recognition Letters, 16, 1995, 193 - 200.

2. W.Pedrycz, Genetic algorithms for learning in fuzzy relational structures, Fuzzy Sets & Systems, 69, 1995, 37 - 52.

1. K.Hirota, W.Pedrycz, Design of fuzzy systems with fuzzy flip-flops, IEEE Trans. on Systems, Man and Cybernetics, 1, 1995, 169 - 176.

1994 7. W. Pedrycz, F. Gomide, Fuzzy Petri nets, IEEE Trans. on Fuzzy Systems, 2,

1994, 295 - 301. 6. K. Hirota, W. Pedrycz, A distributed model of fuzzy set operators, Fuzzy Sets &

Systems, 68, 1994, 157-170. 5. W. Pedrycz, E. Roventa, Contextual matching, Information Sciences, 78, 1994,

215-227. 4. W. Pedrycz, Why triangular membership functions ? Fuzzy Sets & Systems, 64,

1994, 21-30. 3. K. Hirota, W. Pedrycz, OR/AND neuron in modeling fuzzy set connectives,

IEEE Trans. on Fuzzy Systems, 2, 1994, 151-161. 2. A. Di Nola, W.Pedrycz, S.Sessa, Fuzzy information in knowledge representation

and processing for frame-based structures, IEEE Trans. on Systems, Man and Cybernetics, 6, 1994, 918- 925.

1. J. Diamond, W. Pedrycz, R.D. McLeod, Fuzzy JK flip-flops as computational structures: design and implementation, IEEE Trans. on Circuits and Systems. II: analog and digital signal processing, 3, 1994, 215-226.

1993 9. W. Pedrycz, A. Rocha, Knowledge-based neural networks, IEEE Trans. on

Fuzzy Systems,1, 1993, 254-266. 8. A. Di Nola, W. Pedrycz, S. Sessa, Models of matching of fuzzy sets, Kybernetes,

3, 1993, 41-46. 7. Z. Zhang, R. D. McLeod, W. Pedrycz, A neural network algorithm for testing

stuck-open faults in CMOS combinational circuits, J. of Electronic Testing, 4, 1993, 225-235.

6. W. Pedrycz, Fuzzy controllers: principles and architectures, Asian-Pacific Engineering Journal (A), 3, 1993, 1-31.

5. C. Sul, R.M.McLeod, W. Pedrycz, Reliable and fast reconfigurable hierarchical interconnection networks for linear WSI arrays, IEEE Trans. on Very Large Integration (VLSI) Systems, 2, 1993, 224-228.

4. W.Pedrycz, Fuzzy neural networks and neurocomputations, Fuzzy Sets & Systems, 56, 1993, 1-28.

3. K. Hirota, W. Pedrycz, Logic based neural networks, Information Sciences,71, 1993, 99-130.

2. Y. Yoshinari, W. Pedrycz, K. Hirota, Construction of fuzzy models through clustering techniques, Fuzzy Sets & Systems, 54, 1993, 157-165.

19

1. J. Davidson, W.Pedrycz, I. Goulter, A fuzzy decision model for the design of rural gas networks, Fuzzy Sets & Systems, 53, 1993, 241-252.

1992 7. W. Pedrycz, Fuzzy neural networks with reference neurons as pattern classifiers,

IEEE Trans. on Neural Networks, 5,1992,770-775. 6. A. Di Nola, S. Sessa, W. Pedrycz, A study on approximate reasoning mechanisms

via fuzzy relation equations, Int. J. Approximate Reasoning, 6, 1992, 33-44. 5. W. Pedrycz, Associations of fuzzy sets, IEEE Trans. on Systems, Man and

Cybernetics, 6, 1992, 1483- 1488. 4. R. Knosala, W. Pedrycz, Computer system for evaluation of design alternatives in

mechanical engineering, Fuzzy Sets & Systems, 47, 1992, 269-280. 3. J. Diamond, R.D. McLeod, W. Pedrycz, Fuzzy cognitive structure: foundations

and VLSI implementation, Fuzzy Sets & Systems, 47, 1992, 49-64. 2. W. Pedrycz, Selected issues of frame of knowledge representation realized by

means of linguistic labels, Int. J. of Intelligent Systems,7, 1992, 155-169. 1. K. Hirota, W. Pedrycz, Concepts formation: representation and processing issues,

Int. J. of Intelligent Systems, 7, 1992, 3-13. 1991 10. A. Di Nola, W.Pedrycz, S. Sessa, E. Sanchez, Fuzzy relation equations theory as a

basis of fuzzy modelling: an overview, Fuzzy Sets & Systems, 1991, 40, 415-430.

9. W. Pedrycz, Fuzzy logic in development of fundamentals of pattern recognition, Int. J. of Approximate Reasoning, 5(3), 1991, 251-264.

8. W. Pedrycz, G. Bortolan, R. Degani, Classification of electrocardiographic signals: a fuzzy pattern matching approach, Artificial Intelligence in Medicine, 3, 1991, pp. 31-46.

7. W. Pedrycz, Processing in relational structures: fuzzy relational equations, Fuzzy Sets and Systems, 40, 1991, pp. 77-106.

6. W. Pedrycz, Neurocomputations in relational systems, IEEE Trans. on Pattern Analysis and Machine Intelligence, 13, 1991, pp. 289-296.

5. K. Hirota, W. Pedrycz, Designing sequential systems with fuzzy J-K flip-flops, Fuzzy Sets and Systems, 39, 1991, pp. 261-278.

4 W. Homenda, W. Pedrycz, Processing uncertain information in the linear space of fuzzy sets, Fuzzy Sets & Systems, 44, 1991, 187-198.

3. K. Hirota, W. Pedrycz, Matching fuzzy quantities, IEEE Transactions on Systems, Man and Cybernetics, 21, 1991, 1580-1586.

2. W. Pedrycz, Fuzzy modelling: fundamentals, construction and evaluation, Fuzzy Sets & Systems, 41, 1991, pp. 1-15.

1. D.A. Savic, W. Pedrycz, Evaluation of fuzzy linear regression models, Fuzzy Sets & Systems, 39, 1991, pp. 51-63.

1990 9. W. Pedrycz, Relevancy of fuzzy models, Information Sciences, 52(3), 1990, 285-

302.

20

8. W. Pedrycz, Fuzzy Systems: analysis and synthesis. From theory to applications, Int. J. General Systems, 17, 1990, pp. 139-156.

7. A. Di Nola, S. Sessa, W. Pedrycz, Modus ponens for fuzzy data realized via equations with equality operators, Int. J. Intelligent Systems, 5, 1990, pp. 1-14.

6. W. Pedrycz, Direct and inverse problem in comparison of fuzzy data, Fuzzy Sets & Systems, 34, 1990, pp. 223-235.

5. W. Pedrycz, Inverse problem in fuzzy relational equations, Fuzzy Sets & Systems, 36, 1990, pp. 277-291.

4. W. Pedrycz, Algorithms for solving fuzzy relational equations in a probabilistic setting, Fuzzy Sets & Systems, 38, 1990, pp. 313-327.

3. W. Pedrycz, Fuzzy set framework for development of a perception perspective, Fuzzy Sets & Systems, 37, 1990, pp. 123-137.

2. A. Di Nola, W.Pedrycz, S. Sessa, E. Sanchez, Designing of classification procedures with the use of equality and difference operators, Pattern Recognition, 8, 1990, 911 - 917.

1. W. Pedrycz, Fuzzy sets in pattern recognition, Pattern Recognition 2/3, 1990, 121-146.

1989 2. W. Pedrycz, A fuzzy cognitive structure for pattern recognition, Pattern

Recognition Letters, 9, 1989, 305 - 313. 1. A. Di Nola, W. Pedrycz, S. Sessa, An aspect of discrepancy in the implementation

of modus ponens in the presence of fuzzy quantities, Int. J. Approximate Reasoning, 3, 1989, 259 - 265.

1988 3. V. Novak, W. Pedrycz, Fuzzy sets and t-norms in the light of fuzzy logic, Int. J.

Man-Machine Studies, 29, 1988, 113- 127. 2. W. Pedrycz, Approximate solutions of fuzzy relational equations, Fuzzy Sets &

Systems, 26, 1988, 183- 202. 1. A. Di Nola, W. Pedrycz, S. Sessa, Fuzzy relation equations with equality and

difference operators, Fuzzy Sets & Systems, 25, 1988, 205 - 215. 1987 3. W. Pedrycz, Fuzzy models and relational equations, Mathematical Modelling, 6,

1987, 427 - 434. 2. W. Pedrycz, On solution of fuzzy functional equations, J. Math. Anal. and Appl.,

2, 1987, 589 - 604. 1. A. Di Nola, W. Pedrycz, S. Sessa, Using fuzzy relation equations in the

construction of inference mechanisms in expert systems, Cybernetics and Systems, 18, 1987, 49 - 56.

1986 4. W. Pedrycz, Ranking multiple aspect alternatives - fuzzy relational equations

approach, Automatica, 22, 1986, 251 - 253.

21

3. S. Gottwald, W. Pedrycz, Solvability of fuzzy relational equations and manipulation of fuzzy data, Fuzzy Sets & Systems, 18, 1986, 45 - 65.

2. K. Hirota, W. Pedrycz, Subjective entropy of probabilistic sets and fuzzy cluster analysis, IEEE Trans. on Systems, Man, and Cybernetics, 1, 1986, 173 - 179.

1. A. Di Nola, W. Pedrycz, S. Sessa, Coping with uncertainty for knowledge acquisition and inference mechanisms, Kybernetes, 15, 1986, 243 - 249.

1985 11. A. Di Nola, W. Pedrycz, S. Sessa, On measures of fuzziness of solutions of fuzzy

relation equations with generalized connectives, J. Math. Anal and Appl., 2, 1985, 443 - 453.

10. A. Di Nola, W. Pedrycz, S. Sessa, Minimal and maximal solutions of a decomposition problem of fuzzy relations, Int. J. General Systems, 11, 1985, 103 - 112.

9. A. Di Nola, W. Pedrycz, S. Sessa, Decomposition problem of fuzzy relation, Int. J. General Systems, 10, 1985, 123 - 133.

8. W. Pedrycz, Algorithms of fuzzy clustering with partial supervision, Pattern Recognition Letters, 3, 1985, 13 - 20.

7. W. Pedrycz, Applications of fuzzy relational equations for methods of reasoning in presence of fuzzy data, Fuzzy Sets & Systems, 16, 1985, 163 - 175.

6. W. Pedrycz, Structured fuzzy models, Cybernetics and Systems, 16, 1985, 103 - 117.

5. A. Di Nola, W. Pedrycz, S. Sessa, When is a fuzzy relation decomposable into fuzzy sets, Fuzzy Sets & Systems, 16, 1985, 87 - 90.

4. A. Di Nola, W. Pedrycz, S. Sessa, M. Higashi, Maximal and minimal solutions of decomposition problem of fuzzy relation equations with generalized connectives, Int. J. General Systems, 2, 1985, 103 - 116.

3. A. Di Nola, W. Pedrycz, S. Sessa, Processing of fuzzy numbers by fuzzy relation equations, Kybernetes, 15, 1985, 43 - 47.

2. W. Pedrycz, Classification in a fuzzy environment, Pattern Recognition Letters, 3, 1985, 303 - 308.

1. W. Pedrycz, On generalized fuzzy relational equations and their applications, J. Math. Anal. and Appl., 107, 1985, 520 - 536.

1984 7. W. Pedrycz, E. Czogala, K. Hirota, Some remarks on the identification problem in

fuzzy systems, Fuzzy Sets & Systems, 12, 1984, 185 - 189. 6. E. Czogala, W. Pedrycz, Identification and control problems in fuzzy systems,

TIMS Studies in the Management Sciences, 20, 1984, 447 - 466. 5. W. Pedrycz, A model of decision - making in a fuzzy environment, Kybernetes,

13, 1984, 99 - 102. 4. K. Hirota, W. Pedrycz, Characterization of fuzzy clustering algorithms in terms of

entropy of probabilistic sets, Pattern Recognition Letters, 2, 1984, 213 - 216. 3. H. Dyckhoff, W. Pedrycz, Generalized means as a model of compensative

connectives, Fuzzy Sets & Systems, 14, 1984, 143 - 154.

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2. W. Pedrycz, Identification in fuzzy systems, IEEE Trans. on Systems, Man, and Cybernetics, 2, 1984, 361 - 366.

1. A. Di Nola, W. Pedrycz, S. Sessa, Some theoretical aspects of fuzzy relation equations describing fuzzy systems, Information Sciences, 34, 1984, 241 - 264.

1983 5. W. Pedrycz, Numerical and applicational aspects of fuzzy relational equations,

Fuzzy Sets & Systems, 11, 1983, 1 - 18. 4. P. J. M. van Laarhoven, W. Pedrycz, A fuzzy extension of Saaty’s priority theory,

Fuzzy Sets & Systems, 11, 1983, 229 - 241. 3. E. Czogala, W. Pedrycz, On the concept of fuzzy probabilistic controllers, Fuzzy

Sets & Systems, 10, 1983, 109 - 121. 2. E. Czogala, S. Gottwald, W. Pedrycz, Logical connectives of probabilistic sets,

Fuzzy Sets & Systems, 10, 1983, 299 - 308. 1. K. Hirota, W. Pedrycz, Analysis and synthesis of fuzzy systems by the use of

probabilistic sets, Fuzzy Sets & Systems, 10, 1983, 1 - 13. 1982 4. W. Pedrycz, Some aspects of fuzzy decision - making, Kybernetes, 11, 1982, 297

- 301. 3. E. Czogala, S. Gottwald, W. Pedrycz, Contribution to application of energy

measure of fuzzy sets, Fuzzy Sets & Systems, 8, 1982, 205 - 214. 2. E. Czogala, J. Drewniak, W. Pedrycz, Fuzzy relation equations on a finite set,

Fuzzy Sets & Systems, 7, 1982, 89 - 101. 1. E. Czogala, W. Pedrycz, Fuzzy rules generation for fuzzy control, Cybernetics

and Systems, 13, 1982, 275 - 293. 1981 3. E. Czogala, W. Pedrycz, On identification in fuzzy systems and its applications in

control problems, Fuzzy Sets & Systems, 6, 1981, 73 - 83. 2. E. Czogala, W. Pedrycz, Some problems concerning the construction of

algorithms of decision - making in fuzzy systems, Int. J. Man-Machine Studies, 15, 1981, 201 - 211.

1. W. Pedrycz, An approach to the analysis of fuzzy systems, Int. J. Control, 3, 1981, 403 - 421.

1980 2. W. Pedrycz, Stabilization of bilinear systems by a linear feedback control,

Kybernetika, 1, 1980, 48 - 53. 1. K. Hirota, W. Pedrycz, On identification of fuzzy systems under the existence of

vagueness, Summary of Papers on General Fuzzy Problems, 6, 1980, 37 - 40. 1979 1. W. Pedrycz, Predicition methods in systems described by means of fuzzy

relational equations, Zeszyty Naukowe Politechniki Slaskiej , 47, 1979, (in Polish).

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1978 1. W. Pedrycz, Identification of nonstationary objects based on the modified method

of stochastic approximation, Podstawy Sterowania, 2, 1978, 183 - 190 (in Polish).

Conference Papers 2008 1. W. Pedrycz, Concepts of evolvable and knowledge-consistent fuzzy models

3rd International Workshop on Genetic and Evolving Systems GEFS 2008, 4-7 March 2008, 3 - 3

2007 9. Y. Zhu, W. Pedrycz, Applying genetic algorithms to efficiently locate mobile

terminals in personal communication networks, 3rd Int Conference on Natural Computation, ICNC 2007, vol. 4, 24-27 Aug. 2007, 302 – 306.

8. W. Stach, L.Kurgan, W. Pedrycz, Parallel learning of large fuzzy cognitive maps, Int. Joint Conference on Neural Networks IJCNN 2007, 12-17 Aug. 2007, :

1584 – 1589. 7. P. Abrahamsson, R. Moser, W. Pedrycz, A. Sillitti, G. Succi, Effort prediction in

iterative software development processes -- incremental versus global prediction models, 1st Int. Symposium on Empirical Software Engineering and Measurement, ESEM 2007. 20-21 Sept. 2007, 344 – 353.

6. P. Melin, O. Castillo, J. Kacprzyk, W. Pedrycz, Design of hybrid intelligent systems, Annual Meeting of the North American Fuzzy Information Processing Society, 2007. NAFIPS '07, 24-27 June 2007, 582 – 585.

5. H., Tahayori, W. Pedrycz, A.G. D. Antoni, Distributed intervals: a formal framework for information granulation, Canadian Conference on Electrical and Computer Engineering, 2007. CCECE 2007, 22-26 April 2007, 1409 – 1412.

4. R. Moser, W. Pedrycz, G. Succi, Incremental effort prediction models in agile development using radial basis functions," Proc. 19th International Conference on Software Engineering & Knowledge Engineering, SEKE'07, July 9-11, 2007, Boston, MA, 519-522.

3. W. Pedrycz, Distributed and collaborative soft computing: An emerging development environment, Proc. Int. Conference on Computing: Theory and Applications (ICCTA'07) 10 pages

2. N. J. Pizzi, M. D. Alexiuk, W. Pedrycz, Classification of biomedical spectra using fuzzy interquartile encoding and stochastic feature selection, Proc. of the 2007 IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2007) 668-673

1. M. D. Alexiuk, N. J. Pizzi, W. Pedrycz, Intensity correlation thresholding of FMRI data:data-driven regions of interest using bridge voxels, Proc. of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing (CIISP 2007), 194-197.

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2006 l. L.Chen, W. Pedrycz, P.Chen, Computational Intelligence techniques for building

transparent construction performance models, IEEE International Conference on Systems, Man and Cybernetics, ICSMC '06, Volume 2, 8-11 Oct. 2006, 1166 – 1171.

4. T. Talaska, R. Wojtyna, R. Dlugosz, K. Iniewski, W. Pedrycz, Analog-counter-based conscience mechanism in Kohonen's neural network implemented in CMOS 0.18 µm technology, IEEE Workshop on Signal Processing Systems Design and Implementation, 2006, Oct. 2006 , 416 – 421.

2. W. Homenda, W. Pedrycz, Balanced fuzzy gates, Proc. RSCTC 2006, LNAI 4259, Springer-Verlag, 2006, 107–116.

2. H.S. Park, W. Pedrycz, S.K. Oh, Evolutionary design of IG_gHSOFPNN with the aid of information granulation, IEEE International Conference on Fuzzy Systems 2006, Vancouver, 990-996

3. B. Apolloni, S. Bassis, D. Malchiodi, W. Pedrycz, Interpolating support information granules, Proc. Conf. ICANN 2006 LNCS 4132, Springer-Verlag, 2006, 270–281.

3. M. D. Alexiuk, N. J. Pizzi, G. Sawatzky, W. Pedrycz, Captology in narrowcast advertising: a swarm simulation of persuasion models, IEEE CCECE/CCGEI, Ottawa, May 2006, 1723-1726.

3. T. Kaczmarzyk, W. Pedrycz, Content-based image retrieval: an application of MPEG-7 Standard and Fuzzy C-Means, Proc.of NAFIPS 2006, 172-177.

4. S.K Oh, W. Pedrycz, W.S. Kim, H.K. Kim, GA-Based polynomial neural networks architecture and its application to multi-variable software process, Proc. PRICAI 2006, LNAI 4099, Springer-Verlag, 834 – 838.

3. A. Bargiela, W. Pedrycz, The roots of Granular Computing, IEEE Conf. on Granular Computing, 2006, 806 – 809.

2. B. Apolloni, D. Iannizzi, D. Malchiodi, W. Pedrycz, Granular regression, WIRN/NAIS 2005, LNCS 3931, pp. 147–156, 2006.

2005 14. A. Ciaramella, W Pedrycz, R. Tagliaferri, OR/AND neurons for fuzzy set

connectives using ordinal sums and genetic algorithms, WILF 2005, LNAI 3849, pp. 188–194, 2006.

13. A. Dorado, W. Pedrycz, E. Izquierdo, User-driven fuzzy clustering: on the road to semantic classification, RSFDGrC 2005, LNAI 3641, pp. 421–430, 2005.

12. S.K.Oh, J.J. Park, W. Pedrycz, T.C. Ahn, Design of information granules-based fuzzy systems using clustering algorithm and genetic optimization, AI 2005, LNAI 3809, pp. 1142 – 1145, 2005.

11. S. Mitra, H. Banka, W. Pedrycz, Collaborative rough clustering, PReMI 2005, LNCS 3776, pp. 768–773, 2005.

10. K.C. Kwak, W. Pedrycz, M.G. Chun, Modeling nonlinear systems: An approach of boosted linguistic models, FSKD 2005, LNAI 3614, pp. 514 – 523, 2005.

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9. N.J. Pizzi, M. D. Alexiuk, W. Pedrycz, Stochastic feature selection for the discrimination of biomedical spectra, Proc. Int Joint Conf on Neural Networks, IJCNN 2005, July 31-August 4, 2005, pp.3029-3033.

8. W. Stach, L. Kurgan, W. Pedrycz., M. Reformat, Evolutionary development of fuzzy cognitive maps, Proc. IEEE Int. Conference on Fuzzy Systems FUZZ-IEEE 2005, Reno, NV, May 22-25, 2005, 619-624.

7. A. Gobi, W. Pedrycz, Fuzzy modeling through logic optimization, Proc. North American Fuzzy Information Processing Society, NAFIPS 2005, An Arbor, June 22-25, 2005, 6 pages.

6. A. Bargiela, T. Nakashima, W. Pedrycz, Iterative gradient descent approach to multiple regression with fuzzy data, Proc. North American Fuzzy Information Processing Society, NAFIPS 2005, An Arbor, June 22-25, 2005, 6 pages.

5. M. Dissanayake, A. Robinson, A. Russel, W. Pedrycz, A hybrid neural network for predicting construction labour productivity, Int Conf on Computing in Civil Engineering, Cancun, Mexico, June 11-15, 2005, 12 pages

4. W. Pedrycz, J. Valente de Oliveira, An Rn reconstruction problem in linguistic interfaces, Proc. 11th IFSA World Congress, Beijing China, July 28-31, 2005, 1454-1459.

3. W. Pedrycz, N. Pizzi, Uninorm-based logic neurocomputing, Proc. 11th IFSA World Congress, Beijing China, July 28-31, 2005, 1425-1429.

2. P. Fazendeiro, J. Valente de Oliveira, W. Pedrycz, Multi-objective evolutionary optimization of accuracy and interpretability for neuromuscular blackage control, Proc. 11th IFSA World Congress, Beijing China, July 28-31, 2005, 908-913.

1. W. Pedrycz, Granular Computing with shadowed sets, RSFDGrC 2005, LNAI 3641, pp. 23 – 32, 2005 [invited talk].

2004 17. M. Purnaprajna, M. Reformat, W. Pedrycz, Proc. Int. Conf. on Engineering of

Reconfigurable Systems and Algorithms ERSA’04, Las Vegas, NV, June 21-24, 2004, 123- 129.

16. N.J. Pizzi, R.L.Somorjai, W. Pedrycz, Biomedical data classification using randomized feature selection and parallelized multi-layer perceptrons, Proc. IPMU-2004, July 4-9, 2004, Perugia, Italy.

15. A. Ciaramella, R. Tagliaferri, W.Pedrycz, Ordinal sums by using genetic algorithms, Proc. IEEE Int. Conf on Fuzzy System IEEE-FUZZ, Budapest, Hungary, July 25-29, 2004, 5 pages

14. N.J. Pizzi, W. Pedrycz, Classification of magnetic resonance spectra using parallel randomised feature selection, Proc. IEEE Int. Conf on Fuzzy System IEEE-FUZZ, Budapest, Hungary, July 25-29, 2004, 5 pages

13. A. Gobi, W. Pedrycz, Hardware design issues of fuzzy neural networks, Proc. 23rd Int Conf. of the North American Fuzzy Information Processing Society NAFIPS-2004, Banff, July 27-30, 2004,587-592.

12. W. Homenda, W. Pedrycz, Fuzzy computing unit, Proc. 23rd Int Conf. of the North American Fuzzy Information Processing Society NAFIPS-2004, Banff, July 27-30, 2004, 611-616.

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11. H. Takimoto, N. Akamatsu, Y. Mitsukura, W. Pedrycz, A design of robust face identification system for environmental changes, Proc. 23rd Int Conf. of the North American Fuzzy Information Processing Society NAFIPS-2004, Banff, July 27-30, 2004, 858-861.

10. Y. Mitsukura, K. Miyata, K. Mitsukura, M. Fukumi, N. Akamatsu, W. Pedrycz, Intelligent medical diagnosis system using fuzzy and neural networks, Proc. 23rd Int Conf. of the North American Fuzzy Information Processing Society NAFIPS-2004, Banff, July 27-30, 2004, 550-554.

9. W. Stach, L. Kurgan, W. Pedrycz, M. Reformat, Parallel fuzzy cognitive maps as a tool for modeling software development projects, Proc. 23rd Int Conf. of the North American Fuzzy Information Processing Society NAFIPS-2004, Banff, July 27-30, 2004, 28-33.

8. N.J. Pizzi, W. Pedrycz, Randomized feature selection using Scopira, Proc. 23rd Int Conf. of the North American Fuzzy Information Processing Society NAFIPS-2004, Banff, July 27-30, 2004, 669-674.

7. M. Jeon, M. Alexander, N. Pizzi, W. Pedrycz, Unsupervised hierarchical multi-scale image segmentation level set, wavelet and additive splitting operator Proc. 23rd Int Conf. of the North American Fuzzy Information Processing Society NAFIPS-2004, Banff, July 27-30, 2004, 664-668.

6. Y. Li, W. Pedrycz, Regular expressions with truth values in lattice-monoid and their languages, Proc. 23rd Int Conf. of the North American Fuzzy Information Processing Society NAFIPS-2004, Banff, July 27-30, 2004,572-577.

5. H. Li, S. Dick, W. Pedrycz, Similarity confidence level for fuzzy rulebases, Proc. 23rd Int Conf. of the North American Fuzzy Information Processing Society NAFIPS-2004, Banff, July 27-30, 2004, 882-887.

4. R. Chapman, A. Gobi, W. Pedrycz, Blending methodologies for optimizing fuzzy inference engine designs, Proc. 23rd Int Conf. of the North American Fuzzy Information Processing Society NAFIPS-2004, Banff, July 27-30, 2004, 593-598.

3. S. Yoshinari, Y. Mitsukura, M. Fukumi, N. Akamatsu, W. Pedrycz, License plate detection system by using threshold function and improved template matching method, Proc. 23rd Int Conf. of the North American Fuzzy Information Processing Society NAFIPS-2004, Banff, July 27-30, 2004, 357-362.

2. A. Ciaramella, R. Tagliaferri, W.Pedrycz, Inference systems by using ordinal sums and genetic algorithms, Proc. 23rd Int Conf. of the North American Fuzzy Information Processing Society NAFIPS-2004, Banff, July 27-30, 2004,629-634.

1. G.M.Dissanayake, L. Chen, W. Pedrycz, A. Robinson Fayek, A.D. Russel, Fuzzy logic modeling of causal relationshipds- Case study: reasoning about construction performance, Proc. 23rd Int Conf. of the North American Fuzzy Information Processing Society NAFIPS-2004, Banff, July 27-30, 2004, 605-610.

2003 6. A.Bargiela, W. Pedrycz, Granulation of temporal data: a global view on time

series, Proc. 22nd Int Conf. of the North American Fuzzy Information Processing Society NAFIPS-2003, July 24-26, 2003, Chicago, 191- 196.

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5. N. Pizzi, W. Pedrycz, assessment of software quality using fuzzy interquartile encoded metrics, Proc. 10th IFSA Congress, Istanbul, June 30-July 2, 2003, 368-371.

4. A. Bouchachia, W. Pedrycz, A semi-supervised clustering algorithm for data exploration, Proc. 10th IFSA Congress, Istanbul, June 30-July 2, 2003, 329-337.

3. R. Brouwer, W. Pedrycz, A feed forward neural network for mapping vectors to fuzzy sets of vectors, ICANN/ICONIP 2003, June 26-29, 2003, Istanbul, Turkey, 45-48.

2. X. Liu, W. Pedrycz, Q. Zhang, Axiomatics fuzzy sets logic, IEEE Int. Conference on Fuzzy Systems, IEEE-FUZZ, May 25-28, 2003, St. Louis, Missouri.

1 E. Leon, H. Malm, W. Pedrycz, M.P. Mintchev, Training robust neural networks for sensor validation in industrial monitoring systems, Proc. 4th IEEE Int. Conference on Industrial Automation, Montreal, June 9-11, 2003.

2002 2. W. Homenda, W. Pedrycz, Symmetrization of fuzzy operators: notes on data

aggregation, 1st Int. Conference on Fuzzy Systems and Knowledge Discovery, Nov 18-22, 2002, Singapore.

1. H. Nobuhara., W. Pedrycz, K. Hirota, Fuzzy relational image compression using non-uniform coders designed by an overlap level of fuzzy sets, 1st Int. Conference on Fuzzy Systems and Knowledge Discovery, Nov 18-22, 2002, Singapore.

2001 12. S. Djokic, G. Succi, W. Pedrycz, M.P. Mintchev, Meta Analysis - a method of

combining empirical results and its application in object-oriented software systems, Proc. 7th International Conference on Object-Oriented Information Systems, Calgary, August 2001.

11. S.K. Oh, T.C. Ahn, W. Pedrycz, A study on the self-organizing polynomial neural networks, Proc. 9th IFSA Word Congress and 20th NAFIPS Conference, July 25-28, 2001, Vancouver, BC, pp. 1690-1695.

10. A.Bargiela, W. Pedrycz, Classification and clustering of granular data, Proc. 9th IFSA Word Congress and 20th NAFIPS Conference, July 25-28, 2001, Vancouver, BC, pp. 1696-1701.

9. W. Pedrycz, Granular Computing, Proc. 9th IFSA Word Congress and 20th NAFIPS Conference, July 25-28, 2001, Vancouver, BC, pp. 1349- 1354

8. S. Roychowdhury, W. Pedrycz, Linguistic association rules, In: Proc. 9th IFSA Word Congress and 20th NAFIPS Conference, July 25-28, 2001, Vancouver, BC, pp. 645-650

7. V. Kreinovich, H.T. Nguen,W. Pedrycz, How to make sure that ~100 +1 is ~ 100 in fuzzy arithmetic: solution and its (inevitable) drawbacks, In: Proc. 9th IFSA Word Congress and 20th NAFIPS Conference, July 25-28, 2001, Vancouver, BC, pp. 1653-1658

6. B. J. Park, S.K. Oh, W. Pedrycz, The hybrid multi-layer inference architecture and algorithm of FPNN based on FNN and PNN, In: Proc. 9th IFSA Word

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Congress and 20th NAFIPS Conference, July 25-28, 2001, Vancouver, BC, pp. 1361-1366

5. F. Gomide, W. Pedrycz, A relational framework for approximate reasoning in truth space, In: Proc. 9th IFSA Word Congress and 20th NAFIPS Conference, July 25-28, 2001, Vancouver, BC, pp. 1604-1607

4. W. Pedrycz, M. Reformat, Evolutionary optimization of logic-oriented systems, Proc. Genetic and Evolutionary Computation Conference, July 7-11, 2001, San Francisco, pp. 1389-1396.

3. G. Succi, J. Yip, W. Pedrycz, Intelligent system to support software product line development, 23rd Int Conf on Software Engineering, ICSE 2001, 12-19 May Toronto, 2001, pp.829-830.

2. W. Pedrycz, G. Succi, M. Reformat, P. Musilek, X. Bai, Expressing similarity in Software Engineering: a neural model, In: Proc 2nd Int. Workshop on Soft Computing Applied to Software Engineering, SCASE-2001, February 8-9, 2001, Enschede, The Netherlands

1. W. Pedrycz, Computational Intelligence as a knowledge – based environment for Software Engineering, In: Proc 2 nd Int. Workshop on Soft Computing Applied to Software Engineering, SCASE-2001, February 8-9, 2001, Enschede, The Netherlands [invited talk]

2000 5. W.Pedrycz, J. Szymanski, S. Frimpong, A generalized granular multiplexer, Int.

Conf on Applied Simulation and Modelling, ASM 2000, July 24-26, Banff, 2000.

4. W.Pedrycz, M.H. Smith, Information granulation: percepts and their stability, Proc. IEEE Conf. on Fuzzy Systems, San Antonio, 7-10 May 2000, pp. 83-88.

3. W.Pedrycz, A.V. Vasilakos, A. Gacek, Information granulation for concept formation, 2000 ACM Symp. on Applied Computing, Como, Italy, March 19-21, 2000, vol.I, pp. 484- 489

2. W.Pedrycz, M.H. Smith, A. Bargiela, A granular signature of data, Int. Conf. NAFIPS-2000, Atlanta, July

1. W.Pedrycz, E. Roventa, Selected properties of granular information and granular processes, 8th Int. Conf. IPMU-2000, Madrid, Spain, July 3-7, vol. I, 543-548.

1999 11. W. Pedrycz, M. H. Smith, Fuzzy correlation in granular computing, Proc 8th

IEEE Int. Conference on Fuzzy Systems, IEEE-FUZZ, August 22-25, 1999, Seoul, Korea.

10. B. J. Park, S.K. Oh, W. Pedrycz, Fuzzy identification by means of partitions of fuzzy input space and an aggregate objective function, Proc 8th IEEE Int. Conference on Fuzzy Systems, IEEE-FUZZ, August 22-25, 1999, Seoul, Korea.

9. H.S. Park, S. K. Oh,T.C.Ahn, W. Pedrycz, A study on multi-layer fuzzy polynomial inference system based on an extended GMDH algorithm, Proc 8th IEEE Int. Conference on Fuzzy Systems, IEEE-FUZZ, August 22-25, 1999, Seoul, Korea.

29

8. W. Pedrycz,G. Vukovich, Quantification of fuzzy mappings: a relevance of rule-based architectures, Proc. 18th Int Conf of the North American Fuzzy Information Processing Society (NAFIPS), New York, June 1-12, 1999, pp. 105-109.

7. R. Chapman, W. Pedrycz, S. Rae, A motorless artificial limb and its control architecture, 1999 Canadian Conference on Electrical & Computer Engineering CCECE-99, Edmonton, Canada, May 9-12, 1999, pp. 1734-1739.

6. M. Alexiuk, N. Pizzi, W. Pedrycz, Classification of volumetric storm cell patterns, 1999 Canadian Conference on Electrical & Computer Engineering CCECE-99, Edmonton, Canada, May 9-12, 1999, pp. 1081-1085.

5. W. Pedrycz, J. F. Peters, S. Ramanna, A fuzzy set approach to cost estimation of software projects, 1999 Canadian Conference on Electrical & Computer Engineering CCECE-99, Edmonton, Canada, May 9-12, 1999, pp. 1068-1073.

4. W. Pedrycz, Z. A. Sosnowski, Fuzzy granulation and decision trees, Proc. ESM-99, Warsaw, Poland, June 1-4, 1999.

3. W. Pedrycz, Granular computing for system modelling, Fuzzy granulation and decision trees, Proc. ESM-99, Warsaw, Poland, June 1-4, 1999.

2. P. Ekel, W. Pedrycz, R. Schinzinger, Methods of multicriteria decision making in fuzzy environment and their applications, Proc. 18th Int Conf of the North American Fuzzy Information Processing Society (NAFIPS), New York, June 1-12, 1999, pp. 625-629.

1. W. Pedrycz, M.H. Smith, Granular correlation analysis in data mining, Proc. 18th Int Conf of the North American Fuzzy Information Processing Society (NAFIPS), New York, June 1-12, 1999, pp. 715-719.

1998 4. W. Pedrycz, Fuzzy system modelling and simulation, Proc. 10th European

Simulation Symposium, October 26-28, 1998, Nottingham, UK, pp. 3-10. 3. W. Pedrycz, A. V. Vasilakos, Linguistic modeling of traffic in broadband

communication networks, Proc. EUFIT-98, Aachen, September 7-10, 1998. 2. W. Pedrycz, M. H. Smith, Designing dynamic temporally sensitive fuzzy neural

networks, 17th Int. Conf. of the North American Fuzzy Information Processing Society (NAFIPS), Pensacola, Fl, August 1998.

1. W. Pedrycz, M. H. Smith, Linguistic summarization of industrial data, Proc. of the World Automation Congress WAC’98, Anchorage, Alaska, 1998.

1997 13. R.J. Hathaway, G. W. Rogers, J.C. Bezdek, W. Pedrycz, Fusing heterogeneous

fuzzy data for clustering, In: Signal Processing, sensor Fusion, and Target Recognition VI, Proc. of SPIE Orlando, FL, vol. 3068, 1997, pp. 559 - 568.

12. W. Pedrycz, Computational Intelligence: An Introduction (tutorial), IASTED Int. Conf. on Applied Modelling and Simulation, Banff, July 27-August 1, 1997, pp. 1-5.

11. W. Pedrycz, M.H. Smith, Fuzzy neural networks and approximate reasoning, Proc. IASTED Int. Conf. on Applied Modelling and Simulation, Banff, July 27-August 1, 1997.

30

10. W. Pedrycz, Data mining and knowledge discovery: a fuzzy set perspective, Tatra Mountains, Mathematical Publications, vol.13, 1997, pp. 195 - 218 (tutorial, IFSA-97).

9. W. Pedrycz, M. H. Smith, Fuzzy inference networks, Proc. World Congress of International Fuzzy Systems Association IFSA-97, Prague, Czech Republic, June 25-29, 1997, vol. II, pp. 500- 503.

8. R. Gudwin, F. Gomide, W. Pedrycz, Nonlinear context adaptation with a genetic algorithm, Proc. World Congress of International Fuzzy Systems Association IFSA-97, Prague, Czech Republic, June 25-29, 1997, vol. II, pp. 300- 305.

7. S. Oh, T. Ahn, W. Pedrycz, Fuzzy polynomial neural network-based structure and its applications to nonlinear process systems, Proc. World Congress of International Fuzzy Systems Association IFSA-97, Prague, Czech Republic, June 25-29, 1997, vol. II, pp. 495- 499.

6. P. Ekel, W. Pedrycz, V. Popov, M. Junges, M. Moraes, Models and methods of multicriteria decision making in a fuzzy environment and their applications, Proc. World Congress of International Fuzzy Systems Association IFSA-97, Prague, Czech Republic, June 25-29, 1997, vol. III, pp. 89- 94.

5. W. Pedrycz, J. Peters, S. Ramanna, T. Furuhashi, Models and methods of multicriteria decision making in a fuzzy environment and their applications, Proc. World Congress of International Fuzzy Systems Association IFSA-97, Prague, Czech Republic, June 25-29, 1997, vol. III, pp. 294- 299.

4. W. Pedrycz, Data mining and knowledge discovery through fuzzy neurocomputing (plenary talk), Proc. Fuzzy-Neuro-Systeme’97 (Computational Intelligence), Soest, Germany, March 12-14, 1997, pp. 45 - 59.

3. W. Pedrycz, M. H. Smith, Fuzzy inference networks: an introduction, Proc. Int. Conf, on Neural Networks, ICNN-IEEE, Houston, TX, 1997 vol. IV, pp. 2342-2346.

2. W. Pedrycz, E. Roventa, From fuzzy information processing to fuzzy communication channels, IEEE Instrumentation & Measurement Technology Conference, Ottawa, May 19 -21, 1997, pp. 796 - 801.

1. W. Pedrycz, J.F. Peters, S. Ramanna, Neuro-fuzzy approach to software quality models, 8th Workshop on Software Metrics, Idaho, 1997.

1996 4. K. Hirota, W. Pedrycz, Linguistic data mining and fuzzy modeling, Proc.5th

IEEE Int. Conference on Fuzzy Systems, New Orleans, USA, September 8-11, 1996, vol. III, pp. 1488 - 1492.

3. M.Reformat, E.Kuffel, D.Woodford, W.Pedrycz, Genetic Algorithms in Optimal Control Design of Complex Systems: Power System Application, in Proceedings of `International Workshop on Soft Computing in Industry '96', 27-28 April 1996, Muroran, Hokkaido, Japan, pp.178-184.

2. N. Yubazaki, M. Otani, T. Ashida, A. Muto, J. Yi, K.Hirota, W. Pedrycz, Fuzzy control based on interpolation algorithm, Proc. 1996 IEEE Int. Conference on Systems, Man and Cybernetics, Beijing, October 14-17, 1996, vol. I, pp, 394- 399.

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1. W. Pedrycz, J. J. Valente de Oliveira, Some design options for optimal fuzzy model I/O interfaces, Proc.5th IEEE Int. Conference on Fuzzy Systems, New Orleans, USA,September 8-11, 1996, vol. III, pp. 1481 - 1487.

1995 3. W. Pedrycz, Fuzzy sets and neurocomputation: knowledge-based networks

(invited paper), Proc. SPIE Applications of Fuzzy Logic Technology II, Orlando, Florida, USA, April 19-21, 1995, pp. 2-20.

2. W. Homenda, W. Pedrycz, Fuzzy neuron modeling based on algebraic approach to fuzzy sets, Proc. SPIE Applications of Fuzzy Logic Technology II, Orland, Florida, USA, April 19-21, 1995, pp. 71-82.

1. J. C. Bezdek, R. Hathaway, W. Pedrycz, A parametric heterogeneous fuzzy data model, Proc. 1995 ICNN, vol. 1, IEEE Press, pp. 354 - 358.

1994 4. W.Pedrycz, GAREL: A hybrid genetic learning in fuzzy relational equations,

Proc. 3rd IEEE Conf. on Fuzzy Systems / IEEE World Congress on Computational Intelligence, June 26- 29, 1994, Orlando, vol. II, pp.1354- 1358.

3. A. Rueda, W. Pedrycz, A hierarchical fuzzy neural PD controller for robot manipulators, Proc. 3rd EEE Conf. on Fuzzy Systems / IEEE World Congress on Computational Intelligence, June 26- 29, 1994, Orlando, vol. I, pp.673 - 677.

2. K. Hirota, W. Pedrycz, Implicitly - supervised fuzzy pattern recognition, Proc. 1st Int. Joint Conf. of NAFIPS/IFIS/NASA , San Antonio, TX, USA, December 18-21, 1994, pp. 65-69.

1. A. Rueda, W. Pedrycz, On fuzzy switching control and an application to robot manipulators, Proc. 7th Int. Symp. on Artificial Intelligence, Monterrey, Mexico, 1994.

1993 6. W. Pedrycz, J. Valente de Oliveira, An alternative architecture for application

driven fuzzy systems, Proc. 5th IFSA World Congress, Seoul, 1993, pp.985-988. 5. W. Pedrycz, J. Valente de Oliveira, Optimization of fuzzy relational models,

Proc. 5th IFSA World Congress, Seoul, 1993, pp. 1187-1190. 4. K. Hirota, W. Pedrycz, Fundamentals and algorithms of fuzzy pattern recognition,

1st Asian Fuzzy Systems Symposium, Nov. 23-26, 1993, Singapore. 3. K. Hirota, W. Pedrycz, Neurocomputations with fuzzy flip-flops, Int. Conf. on

Neural Networks IJCNN'93, Nagoya, 1993,vol.2, pp.1867-1870. 2. B. Kermanshahi, H. Poskar, G. S. Swift, P. G. McLaren, W. Pedrycz, A. Silk, W.

Buhr, Load forecasting under extreme climatic conditions, IEEE Powertech Conf, Athens, September 1993.

1. B. Kermanshahi, H. Poskar, G. S. Swift, P. G. McLaren, W. Pedrycz, A. Silk, W. Buhr, Artificial neural networks for forecasting daily load of a Canadian utility, Proc. of Conf. on Applications of Neural Networks to Power Systems, Yokohama, April 1993.

1991

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2. A. Di Nola, W. Pedrycz, S. Sesa, Difference fuzzy relation equations: studies in dynamical systems, European Conf. on Symbolic and Quantitative Approaches for Uncertainty (ECSQAU), Marseille, Oct. 15 - 17, 1991.

1. J.Davidson, W.Pedrycz, I. Goulter, Formulation and validation of fuzzy decision-making models: an application to the design of rural natural gas networks, NAFIPS - 91, Columbia - Missouri, May 15 - 17, 1991.

1990 1. W. Pedrycz, Fuzzy sets and neurocomputations: knowledge representation and

processing in intelligent controllers, 5th IEEE Int.Symp. on Intelligent Control, Philadelphia, 5- 7 Sept, 1990, vol. 1, pp. 626 - 630.