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Witold Pedrycz
2010 – today
- 2014
[j405]Witold Pedrycz: Allocation of information granularity in optimization and decision-making models: Towards building the foundations of Granular Computing. European Journal of Operational Research 232(1): 137-145 (2014)- 2013
- [j404]Witold Pedrycz, Wladyslaw Homenda: Building the fundamentals of granular computing: A principle of justifiable granularity. Appl. Soft Comput. 13(10): 4209-4218 (2013)
- [j403]Xiaodong Liu, Xinghua Feng, Witold Pedrycz: Extraction of fuzzy rules from fuzzy decision trees: An axiomatic fuzzy sets (AFS) approach. Data Knowl. Eng. 84: 1-25 (2013)
- [j402]Francisco Javier Cabrerizo, Enrique Herrera-Viedma, Witold Pedrycz: A method based on PSO and granular computing of linguistic information to solve group decision making problems defined in heterogeneous contexts. European Journal of Operational Research 230(3): 624-633 (2013)
- [j401]Sung-Kwun Oh, Sung-Hoon Yoo, Witold Pedrycz: Design of face recognition algorithm using PCA -LDA combined for hybrid data pre-processing and polynomial-based RBF neural networks : Design and its application. Expert Syst. Appl. 40(5): 1451-1466 (2013)
- [j400]Michal Bereta, Witold Pedrycz, Marek Reformat: Analysis and design of rank-based classifiers. Expert Syst. Appl. 40(8): 3256-3265 (2013)
- [j399]Lizhu Wang, Xiaodong Liu, Witold Pedrycz: Effective intervals determined by information granules to improve forecasting in fuzzy time series. Expert Syst. Appl. 40(14): 5673-5679 (2013)
- [j398]Cat Ho Nguyen, Witold Pedrycz, Thang Long Duong, Thai Son Tran: A genetic design of linguistic terms for fuzzy rule based classifiers. Int. J. Approx. Reasoning 54(1): 1-21 (2013)
- [j397]Decui Liang, Dun Liu, Witold Pedrycz, Pei Hu: Triangular fuzzy decision-theoretic rough sets. Int. J. Approx. Reasoning 54(8): 1087-1106 (2013)
- [j396]Rafik A. Aliev, Witold Pedrycz, Oleg H. Huseynov: Behavioral Decision Making with Combined States under Imperfect Information. International Journal of Information Technology and Decision Making 12(3): 619- (2013)
- [j395]Sung-Kwun Oh, Wook-Dong Kim, Byoung-Jun Park, Witold Pedrycz: A design of granular-oriented self-organizing hybrid fuzzy polynomial neural networks. Neurocomputing 119: 292-307 (2013)
- [j394]Witold Pedrycz: Knowledge Management and Semantic Modeling: a Role of Information Granularity. International Journal of Software Engineering and Knowledge Engineering 23(1): 5-12 (2013)
- [j393]Byoung-Jun Park, Sung-Kwun Oh, Witold Pedrycz: The design of polynomial function-based neural network predictors for detection of software defects. Inf. Sci. 229: 40-57 (2013)
- [j392]Wei Huang, Sung-Kwun Oh, Witold Pedrycz: A fuzzy time-dependent project scheduling problem. Inf. Sci. 246: 100-114 (2013)
- [j391]Witold Pedrycz: From logic descriptors to granular logic descriptors: a study in allocation of information granularity. J. Ambient Intelligence and Humanized Computing 4(4): 411-419 (2013)
- [j390]Michal Bereta, Witold Pedrycz, Marek Reformat: Local descriptors and similarity measures for frontal face recognition: A comparative analysis. J. Visual Communication and Image Representation 24(8): 1213-1231 (2013)
- [j389]Sung-Kwun Oh, Ho-Sung Park, Wook-Dong Kim, Witold Pedrycz: A new approach to radial basis function-based polynomial neural networks: analysis and design. Knowl. Inf. Syst. 36(1): 121-151 (2013)
- [j388]Hongyun Zhang, Witold Pedrycz, Duoqian Miao, Caiming Zhong: A global structure-based algorithm for detecting the principal graph from complex data. Pattern Recognition 46(6): 1638-1647 (2013)
- [j387]Michal Bereta, Pawel Karczmarek, Witold Pedrycz, Marek Reformat: Local descriptors in application to the aging problem in face recognition. Pattern Recognition 46(10): 2634-2646 (2013)
- [j386]Can Gao, Witold Pedrycz, Duoqian Miao: Rough subspace-based clustering ensemble for categorical data. Soft Comput. 17(9): 1643-1658 (2013)
- [j385]Adam Gacek, Witold Pedrycz: Description, analysis, and classification of biomedical signals: a computational intelligence approach. Soft Comput. 17(9): 1659-1671 (2013)
- [j384]Mingli Song, Witold Pedrycz: Granular Neural Networks: Concepts and Development Schemes. IEEE Trans. Neural Netw. Learning Syst. 24(4): 542-553 (2013)
- [c138]Rami Al-Hmouz, Witold Pedrycz, Abdullah Balamash, Ali Morfeq: Granular representation schemes of time series: A study in an optimal allocation of information granularity. FOCI 2013: 44-51
- [p17]Ikno Kim, Junzo Watada, Witold Pedrycz: DNA Rough-Set Computing in the Development of Decision Rule Reducts. Rough Sets and Intelligent Systems (1) 2013: 409-438
- [e15]Witold Pedrycz, Shyi-Ming Chen (Eds.): Time Series Analysis, Modeling and Applications - A Computational Intelligence Perspective. Intelligent Systems Reference Library 47, Springer 2013, ISBN 978-3-642-33438-2
- 2012
- [j383]Sharifah Sakinah Syed Ahmad, Witold Pedrycz: Data and Feature Reduction in Fuzzy Modeling through Particle Swarm Optimization. Applied Comp. Int. Soft Computing 2012 (2012)
- [j382]Nick J. Pizzi, Witold Pedrycz: Classifying High-Dimensional Patterns Using a Fuzzy Logic Discriminant Network. Adv. Fuzzy Systems 2012 (2012)
- [j381]Heesung Lee, Euntai Kim, Witold Pedrycz: A new selective neural network ensemble with negative correlation. Appl. Intell. 37(4): 488-498 (2012)
- [j380]Adam Gacek, Witold Pedrycz: A characterization of electrocardiogram signals through optimal allocation of information granularity. Artificial Intelligence in Medicine 54(2): 125-134 (2012)
- [j379]Witold Pedrycz, Barbara Russo, Giancarlo Succi: Knowledge transfer in system modeling and its realization through an optimal allocation of information granularity. Appl. Soft Comput. 12(8): 1985-1995 (2012)
- [j378]Witold Pedrycz, Mingli Song: A genetic reduction of feature space in the design of fuzzy models. Appl. Soft Comput. 12(9): 2801-2816 (2012)
- [j377]Sulan Zhang, Ping Guo, Jifu Zhang, Xinxin Wang, Witold Pedrycz: A completeness analysis of frequent weighted concept lattices and their algebraic properties. Data Knowl. Eng. 81-82: 104-117 (2012)
- [j376]Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz: Design of optimized cascade fuzzy controller based on differential evolution: Simulation studies and practical insights. Eng. Appl. of AI 25(3): 520-532 (2012)
- [j375]Xin Wang, Xiaodong Liu, Witold Pedrycz, Xiaolei Zhu, Guangfei Hu: Mining axiomatic fuzzy set association rules for classification problems. European Journal of Operational Research 218(1): 202-210 (2012)
- [j374]Ho-Sung Park, Witold Pedrycz, Y.-D. Chung, Sung-Kwun Oh: Modeling of the charging characteristic of linear-type superconducting power supply using granular-based radial basis function neural networks. Expert Syst. Appl. 39(1): 1021-1039 (2012)
- [j373]Xiao-bing Liu, Kun Zhai, Witold Pedrycz: An improved association rules mining method. Expert Syst. Appl. 39(1): 1362-1374 (2012)
- [j372]Seok-Beom Roh, Tae-Chon Ahn, Witold Pedrycz: Fuzzy linear regression based on Polynomial Neural Networks. Expert Syst. Appl. 39(10): 8909-8928 (2012)
- [j371]Witold Pedrycz, Sharifah Sakinah Syed Ahmad: Evolutionary feature selection via structure retention. Expert Syst. Appl. 39(15): 11801-11807 (2012)
- [j370]Adam Pedrycz, Kaoru Hirota, Witold Pedrycz, Fangyan Dong: Granular representation and granular computing with fuzzy sets. Fuzzy Sets and Systems 203: 17-32 (2012)
- [j369]Witold Pedrycz, Mingli Song: Granular fuzzy models: a study in knowledge management in fuzzy modeling. Int. J. Approx. Reasoning 53(7): 1061-1079 (2012)
- [j368]Rafik A. Aliev, Witold Pedrycz, Oleg H. Huseynov: Decision Theory with Imprecise Probabilities. International Journal of Information Technology and Decision Making 11(2): 271-306 (2012)
- [j367]Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz, Su-Chong Joo: Design of K-means clustering-based polynomial radial basis function neural networks (pRBF NNs) realized with the aid of particle swarm optimization and differential evolution. Neurocomputing 78(1): 121-132 (2012)
- [j366]Rafik A. Aliev, Witold Pedrycz, Bijan Fazlollahi, Oleg H. Huseynov, A. V. Alizadeh, Babek Guirimov: Fuzzy logic-based generalized decision theory with imperfect information. Inf. Sci. 189: 18-42 (2012)
- [j365]Sushmita Mitra, Partha Pratim Kundu, Witold Pedrycz: Feature selection using structural similarity. Inf. Sci. 198: 48-61 (2012)
- [j364]Azizul Azhar Ramli, Junzo Watada, Witold Pedrycz: An Efficient Solution of Real-Time Fuzzy Regression Analysis to Information Granules Problem. JACIII 16(2): 199-209 (2012)
- [j363]De-Qiang Li, Xusheng Tang, Witold Pedrycz: Face recognition using decimated redundant discrete wavelet transforms. Mach. Vis. Appl. 23(2): 391-401 (2012)
- [j362]Marta Kolasa, Rafal Dlugosz, Witold Pedrycz, Michal Szulc: A programmable triangular neighborhood function for a Kohonen self-organizing map implemented on chip. Neural Networks 25: 146-160 (2012)
- [j361]Daniel Graves, Joost Noppen, Witold Pedrycz: Clustering with proximity knowledge and relational knowledge. Pattern Recognition 45(7): 2633-2644 (2012)
- [j360]Binod Vaidya, Jong Hyuk Park, Hamid R. Arabnia, Witold Pedrycz, Sheng-Lung Peng: Bio-inspired computing for hybrid information technology. Soft Comput. 16(3): 367-368 (2012)
- [j359]Hesam Izakian, Witold Pedrycz: A new PSO-optimized geometry of spatial and spatio-temporal scan statistics for disease outbreak detection. Swarm and Evolutionary Computation 4: 1-11 (2012)
- [j358]Jun Zhao, Wei Wang, Witold Pedrycz, Xiangwei Tian: Online Parameter Optimization-Based Prediction for Converter Gas System by Parallel Strategies. IEEE Trans. Contr. Sys. Techn. 20(3): 835-845 (2012)
- [j357]Luiz F. S. Coletta, Lucas Vendramin, Eduardo R. Hruschka, Ricardo J. G. B. Campello, Witold Pedrycz: Collaborative Fuzzy Clustering Algorithms: Some Refinements and Design Guidelines. IEEE T. Fuzzy Systems 20(3): 444-462 (2012)
- [j356]Jun Zhao, Quanli Liu, Witold Pedrycz, Dexiang Li: Effective Noise Estimation-Based Online Prediction for Byproduct Gas System in Steel Industry. IEEE Trans. Industrial Informatics 8(4): 953-963 (2012)
- [j355]Fabricio A. Breve, Liang Zhao, Marcos G. Quiles, Witold Pedrycz, Jiming Liu: Particle Competition and Cooperation in Networks for Semi-Supervised Learning. IEEE Trans. Knowl. Data Eng. 24(9): 1686-1698 (2012)
- [j354]Jun Zhao, Quanli Liu, Wei Wang, Witold Pedrycz, Liqun Cong: Hybrid Neural Prediction and Optimized Adjustment for Coke Oven Gas System in Steel Industry. IEEE Trans. Neural Netw. Learning Syst. 23(3): 439-450 (2012)
- [j353]Witold Pedrycz, Andrzej Bargiela: An Optimization of Allocation of Information Granularity in the Interpretation of Data Structures: Toward Granular Fuzzy Clustering. IEEE Transactions on Systems, Man, and Cybernetics, Part B 42(3): 582-590 (2012)
- [j352]Wojciech Stach, Witold Pedrycz, Lukasz A. Kurgan: Learning of Fuzzy Cognitive Maps Using Density Estimate. IEEE Transactions on Systems, Man, and Cybernetics, Part B 42(3): 900-912 (2012)
- [j351]Soumyadip Sengupta, Swagatam Das, Md. Nasir, Athanasios V. Vasilakos, Witold Pedrycz: An Evolutionary Multiobjective Sleep-Scheduling Scheme for Differentiated Coverage in Wireless Sensor Networks. IEEE Transactions on Systems, Man, and Cybernetics, Part C 42(6): 1093-1102 (2012)
- [c137]Soumyadip Sengupta, Swagatam Das, Md. Nasir, Athanasios V. Vasilakos, Witold Pedrycz: Energy-efficient differentiated coverage of dynamic objects using an improved evolutionary multi-objective optimization algorithm with fuzzy-dominance. IEEE Congress on Evolutionary Computation 2012: 1-8
- [c136]Witold Pedrycz, Wladyslaw Homenda: From Fuzzy Cognitive Maps to Granular Cognitive Maps. ICCCI (1) 2012: 185-193
- [c135]Wladyslaw Homenda, Witold Pedrycz: Finite Automata with Imperfect Information as Classification Tools. ICCCI (1) 2012: 465-474
- [c134]Yicheng Wei, Junzo Watada, Witold Pedrycz: A Fuzzy Support Vector Machine with Qualitative Regression Preset. ICGEC 2012: 393-399
- [c133]Kuwen Li, Marek Reformat, Witold Pedrycz, Jinfeng Yu: Multi-Objective Optimization of Fuzzy Neural Networks for Software Modeling. SEKE 2012: 106-111
- [c132]Majid RobatJazi, Marek Reformat, Witold Pedrycz: Ontology-based framework for reasoning with fuzzy temporal data. SMC 2012: 2030-2035
- [p16]Witold Pedrycz: From Fuzzy Rule-Based Systems to Granular Fuzzy Rule-Based Systems: A Study in Granular Computing. Combining Experimentation and Theory 2012: 151-162
- 2011
- [j350]Witold Pedrycz, Shu-Ching Chen, Stuart Harvey Rubin, Gordon K. Lee: Risk evaluation through decision-support architectures in threat assessment and countering terrorism. Appl. Soft Comput. 11(1): 621-631 (2011)
- [j349]M. Hadi Mashinchi, Mehmet A. Orgun, Witold Pedrycz: Hybrid optimization with improved tabu search. Appl. Soft Comput. 11(2): 1993-2006 (2011)
- [j348]Soowhan Han, Sungdae Park, Witold Pedrycz: Conditional fuzzy clustering for blind channel equalization. Appl. Soft Comput. 11(2): 2777-2786 (2011)
- [j347]Oscar Castillo, Patricia Melin, Witold Pedrycz: Design of interval type-2 fuzzy models through optimal granularity allocation. Appl. Soft Comput. 11(8): 5590-5601 (2011)
- [j346]Ho-Sung Park, Y.-D. Chung, Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim: Design of information granule-oriented RBF neural networks and its application to power supply for high-field magnet. Eng. Appl. of AI 24(3): 543-554 (2011)
- [j345]Azizul Azhar Ramli, Junzo Watada, Witold Pedrycz: Real-time fuzzy regression analysis: A convex hull approach. European Journal of Operational Research 210(3): 606-617 (2011)
- [j344]Qinghua Hu, Lei Zhang, David Zhang, Wei Pan, Shuang An, Witold Pedrycz: Measuring relevance between discrete and continuous features based on neighborhood mutual information. Expert Syst. Appl. 38(9): 10737-10750 (2011)
- [j343]Sung-Kwun Oh, Han-Jong Jang, Witold Pedrycz: A comparative experimental study of type-1/type-2 fuzzy cascade controller based on genetic algorithms and particle swarm optimization. Expert Syst. Appl. 38(9): 11217-11229 (2011)
- [j342]Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz, Byoung-Jun Park: Polynomial-based radial basis function neural networks (P-RBF NNs) realized with the aid of particle swarm optimization. Fuzzy Sets and Systems 163(1): 54-77 (2011)
- [j341]Guoqing Chen, Witold Pedrycz: Report on IFSA Workshop, Beijing, July 4-5, 2010. Fuzzy Sets and Systems 168(1): 102-103 (2011)
- [j340]Sanghamitra Bandyopadhyay, Sriparna Saha, Witold Pedrycz: Use of a fuzzy granulation-degranulation criterion for assessing cluster validity. Fuzzy Sets and Systems 170(1): 22-42 (2011)
- [j339]Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz: Design of fuzzy radial basis function-based polynomial neural networks. Fuzzy Sets and Systems 185(1): 15-37 (2011)
- [j338]Yingxu Wang, Robert C. Berwick, Simon Haykin, Witold Pedrycz, Witold Kinsner, George Baciu, Du Zhang, Virendrakumar C. Bhavsar: Cognitive Informatics and Cognitive Computing in Year 10 and Beyond. IJCINI 5(4): 1-21 (2011)
- [j337]Witold Pedrycz: Human Centricity and Perception-Based Perspective and Their Centrality to the Agenda of Granular Computing. IJCINI 5(4): 44-60 (2011)
- [j336]Mingli Song, Witold Pedrycz: From local neural networks to granular neural networks: A study in information granulation. Neurocomputing 74(18): 3931-3940 (2011)
- [j335]Rafik A. Aliev, Witold Pedrycz, Babek Guirimov, Rashad R. Aliev, Umit Ilhan, Mustafa Babagil, Sadik Mammadli: Type-2 fuzzy neural networks with fuzzy clustering and differential evolution optimization. Inf. Sci. 181(9): 1591-1608 (2011)
- [j334]Witold Pedrycz: The Principle of Justifiable Granularity and an Optimization of Information Granularity Allocation as Fundamentals of Granular Computing. JIPS 7(3): 397-412 (2011)
- [j333]Witold Pedrycz, Barbara Russo, Giancarlo Succi: A model of job satisfaction for collaborative development processes. Journal of Systems and Software 84(5): 739-752 (2011)
- [j332]Animesh Adhikari, Pralhad Ramachandrarao, Witold Pedrycz: Study of select items in different data sources by grouping. Knowl. Inf. Syst. 27(1): 23-43 (2011)
- [j331]Minghu Ha, Jiqiang Chen, Witold Pedrycz, Lu Sun: Bounds on the rate of convergence of learning processes based on random sets and set-valued probability. Kybernetes 40(9/10): 1459-1485 (2011)
- [j330]Yuhua Qian, Jiye Liang, Witold Pedrycz, Chuangyin Dang: An efficient accelerator for attribute reduction from incomplete data in rough set framework. Pattern Recognition 44(8): 1658-1670 (2011)
- [j329]Jie Zhou, Witold Pedrycz, Duoqian Miao: Shadowed sets in the characterization of rough-fuzzy clustering. Pattern Recognition 44(8): 1738-1749 (2011)
- [j328]Sung-Kwun Oh, Han-Jong Jang, Witold Pedrycz: Optimized fuzzy PD cascade controller: A comparative analysis and design. Simulation Modelling Practice and Theory 19(1): 181-195 (2011)
- [j327]Witold Pedrycz, Daniel S. Yeung, Xizhao Wang: Recent advances on machine learning and Cybernetics. Soft Comput. 15(6): 1039 (2011)
- [j326]Jie Zhou, Duoqian Miao, Witold Pedrycz, Hongyun Zhang: Analysis of alternative objective functions for attribute reduction in complete decision tables. Soft Comput. 15(8): 1601-1616 (2011)
- [j325]Rafal Dlugosz, Tomasz Talaska, Witold Pedrycz: Current-Mode Analog Adaptive Mechanism for Ultra-Low-Power Neural Networks. IEEE Trans. on Circuits and Systems 58-II(1): 31-35 (2011)
- [j324]Jun Zhao, Wei Wang, Ying Liu, Witold Pedrycz: A Two-Stage Online Prediction Method for a Blast Furnace Gas System and Its Application. IEEE Trans. Contr. Sys. Techn. 19(3): 507-520 (2011)
- [j323]M. Hadi Mashinchi, Mehmet A. Orgun, Mashaallah Mashinchi, Witold Pedrycz: A Tabu-Harmony Search-Based Approach to Fuzzy Linear Regression. IEEE T. Fuzzy Systems 19(3): 432-448 (2011)
- [j322]Witold Pedrycz, Mingli Song: Analytic Hierarchy Process (AHP) in Group Decision Making and its Optimization With an Allocation of Information Granularity. IEEE T. Fuzzy Systems 19(3): 527-539 (2011)
- [j321]Qinghua Hu, Daren Yu, Witold Pedrycz, Degang Chen: Kernelized Fuzzy Rough Sets and Their Applications. IEEE Trans. Knowl. Data Eng. 23(11): 1649-1667 (2011)
- [j320]Rafal Dlugosz, Marta Kolasa, Witold Pedrycz, Michal Szulc: Parallel Programmable Asynchronous Neighborhood Mechanism for Kohonen SOM Implemented in CMOS Technology. IEEE Transactions on Neural Networks 22(12): 2091-2104 (2011)
- [j319]Witold Pedrycz: Introducing WIREs data mining and knowledge discovery. Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery 1(1): 1 (2011)
- [c131]Witold Pedrycz: Human centricity and perception-based perspective of architectures of Granular Computing. IEEE ICCI*CC 2011: 3
- [c130]Yingxu Wang, Robert C. Berwick, Simon Haykin, Witold Pedrycz, George Baciu, Virendrakumar C. Bhavsar, Marina L. Gavrilova, Witold Kinsner, Du Zhang: Cognitive Informatics in Year 10 and Beyond: summary of the plenary panel. IEEE ICCI*CC 2011: 11-22
- [c129]Rafal Dlugosz, Marta Kolasa, Witold Pedrycz: Fisherman learning algorithm of the SOM realized in the CMOS technology. ESANN 2011
- [c128]Pekka Abrahamsson, Ilenia Fronza, Raimund Moser, Jelena Vlasenko, Witold Pedrycz: Predicting Development Effort from User Stories. ESEM 2011: 400-403
- [c127]Azizul Azhar Ramli, Witold Pedrycz, Junzo Watada, Nureize Arbaiy: A real-time analysis of granular information: Some initial thoughts on a convex hull-based fuzzy regression approach. FUZZ-IEEE 2011: 2851-2858
- [c126]Azizul Azhar Ramli, Junzo Watada, Witold Pedrycz: A Convex Hull-Based Fuzzy Regression to Information Granules Problem - An Efficient Solution to Real-Time Data Analysis. ICSECS (2) 2011: 190-204
- [c125]Jhimli Adhikari, P. R. Rao, Witold Pedrycz: Mining Icebergs in Time-Stamped Databases. IICAI 2011: 641-660
- [c124]Witold Pedrycz: Concepts and Design of Granular Fuzzy Neural Networks - New Constructs of Computational Intelligence. IJCCI (NCTA) 2011: 11
- [c123]Fabricio A. Breve, Liang Zhao, Marcos G. Quiles, Witold Pedrycz, Jiming Liu: Particle Competition and Cooperation for Uncovering Network Overlap Community Structure. ISNN (3) 2011: 426-433
- [c122]Sharifah Sakinah Syed Ahmad, Witold Pedrycz: Granular Instances Selection for Fuzzy Modeling. MLDM 2011: 99-111
- [c121]Witold Pedrycz: Towards Designing Human Centric Systems: A New View at System Modeling with Granular Membership Grades. RSKT 2011: 16
- [c120]Sharifah Sakinah Syed Ahmad, Witold Pedrycz: Feature and instance selection via cooperative PSO. SMC 2011: 2127-2132
- [c119]
- [c118]Mario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni, Witold Pedrycz: Granular Data Regression with Neural Networks. WILF 2011: 172-179
- [e14]Anna Maria Fanelli, Witold Pedrycz, Alfredo Petrosino (Eds.): Fuzzy Logic and Applications - 9th International Workshop, WILF 2011, Trani, Italy, August 29-31,2011. Proceedings. Lecture Notes in Computer Science 6857, Springer 2011, ISBN 978-3-642-23712-6
- [e13]Oscar Castillo, Janusz Kacprzyk, Witold Pedrycz (Eds.): Soft Computing for Intelligent Control and Mobile Robotics. Studies in Computational Intelligence 318, Springer 2011, ISBN 978-3-642-15533-8
- 2010
- [b6]Animesh Adhikari, Pralhad Ramachandrarao, Witold Pedrycz: Developing Multi-Database Mining Applications. Springer 2010, ISBN 978-1-8499-6043-4, pp. I-IX, 1-127
- [j318]Yuhua Qian, Jiye Liang, Witold Pedrycz, Chuangyin Dang: Positive approximation: An accelerator for attribute reduction in rough set theory. Artif. Intell. 174(9-10): 597-618 (2010)
- [j317]Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh: Polynomial-based radial basis function neural networks (P-RBF NNs) and their application to pattern classification. Appl. Intell. 32(1): 27-46 (2010)
- [j316]Naimeh Sadeghi, Aminah Robinson Fayek, Witold Pedrycz: Fuzzy Monte Carlo Simulation and Risk Assessment in Construction. Comp.-Aided Civil and Infrastruct. Engineering 25(4): 238-252 (2010)
- [j315]Witold Pedrycz, Stuart Harvey Rubin: Data compactification and computing with words. Eng. Appl. of AI 23(3): 346-356 (2010)
- [j314]Witold Pedrycz: The design of cognitive maps: A study in synergy of granular computing and evolutionary optimization. Expert Syst. Appl. 37(10): 7288-7294 (2010)
- [j313]Witold Pedrycz: Evolvable fuzzy systems: some insights and challenges. Evolving Systems 1(2): 73-82 (2010)
- [j312]Oscar Castillo, Patricia Melin, Witold Pedrycz, Janusz Kacprzyk: Preface to the special section on new trends on pattern recognition with fuzzy models. Fuzzy Sets and Systems 161(1): 1-2 (2010)
- [j311]Daniel Graves, Witold Pedrycz: Kernel-based fuzzy clustering and fuzzy clustering: A comparative experimental study. Fuzzy Sets and Systems 161(4): 522-543 (2010)
- [j310]Mahnhoon Lee, Witold Pedrycz: Adaptive learning of ordinal-numerical mappings through fuzzy clustering for the objects of mixed features. Fuzzy Sets and Systems 161(4): 564-577 (2010)
- [j309]Seok-Beom Roh, Tae-Chon Ahn, Witold Pedrycz: The design methodology of radial basis function neural networks based on fuzzy K-nearest neighbors approach. Fuzzy Sets and Systems 161(13): 1803-1822 (2010)
- [j308]Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz: A divide and conquer method for learning large Fuzzy Cognitive Maps. Fuzzy Sets and Systems 161(19): 2515-2532 (2010)
- [j307]Qinghua Hu, Lei Zhang, Degang Chen, Witold Pedrycz, Daren Yu: Gaussian kernel based fuzzy rough sets: Model, uncertainty measures and applications. Int. J. Approx. Reasoning 51(4): 453-471 (2010)
- [j306]Nick J. Pizzi, Witold Pedrycz: Aggregating multiple classification results using fuzzy integration and stochastic feature selection. Int. J. Approx. Reasoning 51(8): 883-894 (2010)
- [j305]Shu Cheng, Ruijun Dong, Witold Pedrycz: A framework of fuzzy hybrid systems for modelling and control. Int. J. General Systems 39(2): 165-176 (2010)
- [j304]Rafal Dlugosz, Witold Pedrycz: lukasiewicz fuzzy logic networks and their ultra low power hardware implementation. Neurocomputing 73(7-9): 1222-1234 (2010)
- [j303]Seok-Beom Roh, Su-Chong Joo, Witold Pedrycz, Sung-Kwun Oh: The development of fuzzy radial basis function neural networks based on the concept of information ambiguity. Neurocomputing 73(13-15): 2464-2477 (2010)
- [j302]Witold Pedrycz: Granular Computing and Human-Centricity in Computational Intelligence. IJSSCI 2(4): 16-31 (2010)
- [j301]Yingxu Wang, Witold Pedrycz, George Baciu, Ping Chen, Guoyin Wang, Yiyu Yao: Perspectives on Cognitive Computing and Applications. IJSSCI 2(4): 32-44 (2010)
- [j300]Witold Pedrycz: Human centricity in computing with fuzzy sets: an interpretability quest for higher order granular constructs. J. Ambient Intelligence and Humanized Computing 1(1): 65-74 (2010)
- [j299]Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz: A fuzzy ensemble of parallel polynomial neural networks with information granules formed by fuzzy clustering. Knowl.-Based Syst. 23(3): 202-219 (2010)
- [j298]Witold Pedrycz: The development of granular metastructures and their use in a multifaceted representation of data and models. Kybernetes 39(7): 1184-1200 (2010)
- [j297]Naixue Xiong, Athanasios V. Vasilakos, Laurence Tianruo Yang, Witold Pedrycz, Yan Zhang, Yingshu Li: A Resilient and Scalable Flocking Scheme in Autonomous Vehicular Networks. MONET 15(1): 126-136 (2010)
- [j296]Witold Pedrycz, D. J. Lee, Nicolino J. Pizzi: Representation and classification of high-dimensional biomedical spectral data. Pattern Anal. Appl. 13(4): 423-436 (2010)
- [j295]Sushmita Mitra, Witold Pedrycz, Bishal Barman: Shadowed c-means: Integrating fuzzy and rough clustering. Pattern Recognition 43(4): 1282-1291 (2010)
- [j294]Witold Pedrycz, Andrzej Bargiela: Fuzzy clustering with semantically distinct families of variables: Descriptive and predictive aspects. Pattern Recognition Letters 31(13): 1952-1958 (2010)
- [j293]Witold Pedrycz, Vincenzo Loia, Sabrina Senatore: Fuzzy Clustering With Viewpoints. IEEE T. Fuzzy Systems 18(2): 274-284 (2010)
- [j292]Seok-Beom Roh, Tae-Chon Ahn, Witold Pedrycz: The Refinement of Models With the Aid of the Fuzzy k -Nearest Neighbors Approach. IEEE T. Instrumentation and Measurement 59(3): 604-615 (2010)
- [j291]Rafal Dlugosz, Tomasz Talaska, Witold Pedrycz, Ryszard Wojtyna: Realization of the conscience mechanism in CMOS implementation of winner-takes-all self-organizing neural networks. IEEE Transactions on Neural Networks 21(6): 961-971 (2010)
- [j290]Qinghua Hu, Witold Pedrycz, Daren Yu, Jun Lang: Selecting Discrete and Continuous Features Based on Neighborhood Decision Error Minimization. IEEE Transactions on Systems, Man, and Cybernetics, Part B 40(1): 137-150 (2010)
- [j289]Shuming Wang, Junzo Watada, Witold Pedrycz: Recourse-Based Facility-Location Problems in Hybrid Uncertain Environment. IEEE Transactions on Systems, Man, and Cybernetics, Part B 40(4): 1176-1187 (2010)
- [j288]Long Chen, C. L. Philip Chen, Witold Pedrycz: A Gradient-Descent-Based Approach for Transparent Linguistic Interface Generation in Fuzzy Models. IEEE Transactions on Systems, Man, and Cybernetics, Part B 40(5): 1219-1230 (2010)
- [c117]Witold Pedrycz: Granular computing and human-centricity in computational intelligence. IEEE ICCI 2010: 2
- [c116]Yingxu Wang, Witold Pedrycz, George Baciu, Ping Chen, Hugo de Garis, Zhongzhi Shi, Guoyin Wang, Patrick Wang, Yiyu Yao: Perspectives on cognitive computing and applications: Summary of plenary Panel I of IEEE ICCI'10. IEEE ICCI 2010: 8-16
- [c115]Rafal Dlugosz, Marta Kolasa, Witold Pedrycz: Programmable triangular neighborhood functions of Kohonen Self-Organizing Maps realized in CMOS technology. ESANN 2010
- [c114]Ruijun Dong, Witold Pedrycz: Sparse optimization using a mixed GA-PSO optimization framework. FSKD 2010: 1862-1866
- [c113]Keun Chang Kwak, Witold Pedrycz: A design of genetically oriented linguistic model with the aid of fuzzy granulation. FUZZ-IEEE 2010: 1-6
- [c112]Nick J. Pizzi, Aleksander B. Demko, Witold Pedrycz: Variance analysis and biomedical pattern classification. FUZZ-IEEE 2010: 1-8
- [c111]Azizul Azhar Ramli, Junzo Watada, Witold Pedrycz: Possibilistic regression analysis of influential factors in the planning and implementation of occupational health and safety management systems. FUZZ-IEEE 2010: 1-8
- [c110]Sharifah Sakinah Syed Ahmad, Witold Pedrycz: A Comparative Study of Genetic Algorithms, Particle Swarm Optimization, and Differential Evolution in Problem of Feature Selection through Structure Retention. GEM 2010: 49-54
- [c109]Witold Pedrycz, Janusz Kacprzyk, Slawomir Zadrozny: Towards a New Generation of Indicators for Consensus Reaching Support Using Type-2 Fuzzy Sets. IPMU (2) 2010: 241-250
- [c108]Daniel Graves, Witold Pedrycz: Proximity fuzzy clustering and its application to time series clustering and prediction. ISDA 2010: 49-54
- [c107]Minghu Ha, Chao Wang, Witold Pedrycz: The Key Theorem of Learning Theory Based on Sugeno Measure and Fuzzy Random Samples. LSMS/ICSEE (2) 2010: 241-249
- [p15]Witold Pedrycz: Knowledge-Oriented and Distributed Unsupervised Learning for Concept Elicitation. Advances in Machine Learning II 2010: 3-21
- [e12]Sorin Draghici, Taghi M. Khoshgoftaar, Vasile Palade, Witold Pedrycz, M. Arif Wani, Xingquan Zhu (Eds.): The Ninth International Conference on Machine Learning and Applications, ICMLA 2010, Washington, DC, USA, 12-14 December 2010. IEEE Computer Society 2010, ISBN 978-0-7695-4300-0
- [e11]Patricia Melin, Janusz Kacprzyk, Witold Pedrycz (Eds.): Soft Computing for Recognition Based on Biometrics. Studies in Computational Intelligence 312, Springer 2010, ISBN 978-3-642-15110-1
2000 – 2009
- 2009
- [b5]Xiaodong Liu, Witold Pedrycz: Axiomatic Fuzzy Set Theory and Its Applications. Studies in Fuzziness and Soft Computing 244, Springer 2009, ISBN 978-3-642-00401-8, pp. 3-489
- [j287]Fusheng Yu, Witold Pedrycz: The design of fuzzy information granules: Tradeoffs between specificity and experimental evidence. Appl. Soft Comput. 9(1): 264-273 (2009)
- [j286]Sung-Kwun Oh, Witold Pedrycz, Seok-Beom Roh: Hybrid fuzzy set-based polynomial neural networks and their development with the aid of genetic optimization and information granulation. Appl. Soft Comput. 9(3): 1068-1089 (2009)
- [j285]Soowhan Han, Imgeun Lee, Witold Pedrycz: Modified fuzzy c-means and Bayesian equalizer for nonlinear blind channel. Appl. Soft Comput. 9(3): 1090-1096 (2009)
- [j284]Witold Pedrycz, Partab Rai: Experience-consistent modeling: Regression and classification problems. Automatica 45(2): 449-455 (2009)
- [j283]Daniel J. Withey, Witold Pedrycz, Zoltan J. Koles: Dynamic edge tracing: Boundary identification in medical images. Computer Vision and Image Understanding 113(10): 1039-1052 (2009)
- [j282]Sung-Kwun Oh, Han-Jong Jang, Witold Pedrycz: The design of a fuzzy cascade controller for ball and beam system: A study in optimization with the use of parallel genetic algorithms. Eng. Appl. of AI 22(2): 261-271 (2009)
- [j281]Witold Pedrycz: Statistically grounded logic operators in fuzzy sets. European Journal of Operational Research 193(2): 520-529 (2009)
- [j280]Witold Pedrycz, Byoung-Jun Park, Nicolino J. Pizzi: Identifying core sets of discriminatory features using particle swarm optimization. Expert Syst. Appl. 36(3): 4610-4616 (2009)
- [j279]Sung-Kwun Oh, Seung-Hyun Jung, Witold Pedrycz: Design of optimized fuzzy cascade controllers by means of Hierarchical Fair Competition-based Genetic Algorithms. Expert Syst. Appl. 36(9): 11641-11651 (2009)
- [j278]Minghu Ha, Witold Pedrycz, Lifang Zheng: The theoretical fundamentals of learning theory based on fuzzy complex random samples. Fuzzy Sets and Systems 160(17): 2429-2441 (2009)
- [j277]Xiaofeng Liang, Witold Pedrycz: Logic-based fuzzy networks: A study in system modeling with triangular norms and uninorms. Fuzzy Sets and Systems 160(24): 3475-3502 (2009)
- [j276]Mahnhoon Lee, Witold Pedrycz: The fuzzy C-means algorithm with fuzzy P-mode prototypes for clustering objects having mixed features. Fuzzy Sets and Systems 160(24): 3590-3600 (2009)
- [j275]Yingxu Wang, Witold Kinsner, James A. Anderson, Du Zhang, Yiyu Yao, Phillip C.-Y. Sheu, Jeffrey J. P. Tsai, Witold Pedrycz, Jean-Claude Latombe, Lotfi A. Zadeh, Dilip Patel, Christine W. Chan: A Doctrine of Cognitive Informatics (CI). Fundam. Inform. 90(3): 203-228 (2009)
- [j274]Minghu Ha, Hong Zhang, Witold Pedrycz, Hong-Jie Xing: The expected value models on Sugeno measure space. Int. J. Approx. Reasoning 50(7): 1022-1035 (2009)
- [j273]Witold Pedrycz: From fuzzy sets to shadowed sets: Interpretation and computing. Int. J. Intell. Syst. 24(1): 48-61 (2009)
- [j272]
- [j271]Daniel Graves, Witold Pedrycz: Fuzzy prediction architecture using recurrent neural networks. Neurocomputing 72(7-9): 1668-1678 (2009)
- [j270]Mario G. C. A. Cimino, Witold Pedrycz, Beatrice Lazzerini, Francesco Marcelloni: Using multilayer perceptrons as receptive fields in the design of neural networks. Neurocomputing 72(10-12): 2536-2548 (2009)
- [j269]Witold Pedrycz, Rafik A. Aliev: Logic-oriented neural networks for fuzzy neurocomputing. Neurocomputing 73(1-3): 10-23 (2009)
- [j268]Witold Pedrycz: Hierarchies of Architectures of Collaborative Computational Intelligence. IJSSCI 1(1): 18-31 (2009)
- [j267]Minghu Ha, Witold Pedrycz, Jiqiang Chen, Lifang Zheng: Some theoretical results of learning theory based on random sets in set-valued probability space. Kybernetes 38(3/4): 635-657 (2009)
- [j266]
- [j265]Junzo Watada, Shuming Wang, Witold Pedrycz: Building Confidence-Interval-Based Fuzzy Random Regression Models. IEEE T. Fuzzy Systems 17(6): 1273-1283 (2009)
- [j264]Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh: A Design of Genetically Oriented Fuzzy Relation Neural Networks (FrNNs) Based on the Fuzzy Polynomial Inference Scheme. IEEE T. Fuzzy Systems 17(6): 1310-1323 (2009)
- [j263]Shuming Wang, Junzo Watada, Witold Pedrycz: Value-at-Risk-Based Two-Stage Fuzzy Facility Location Problems. IEEE Trans. Industrial Informatics 5(4): 465-482 (2009)
- [j262]Xiaodong Liu, Witold Pedrycz, Tianyou Chai, Mingli Song: The Development of Fuzzy Rough Sets with the Use of Structures and Algebras of Axiomatic Fuzzy Sets. IEEE Trans. Knowl. Data Eng. 21(3): 443-462 (2009)
- [j261]Ho-Sung Park, Witold Pedrycz, Sung-Kwun Oh: Granular Neural Networks and Their Development Through Context-Based Clustering and Adjustable Dimensionality of Receptive Fields. IEEE Transactions on Neural Networks 20(10): 1604-1616 (2009)
- [j260]Witold Pedrycz, Partab Rai: A Multifaceted Perspective at Data Analysis: A Study in Collaborative Intelligent Agents. IEEE Transactions on Systems, Man, and Cybernetics, Part B 39(4): 834-844 (2009)
- [j259]Rafik A. Aliev, Witold Pedrycz: Fundamentals of a Fuzzy-Logic-Based Generalized Theory of Stability. IEEE Transactions on Systems, Man, and Cybernetics, Part B 39(4): 971-988 (2009)
- [c106]Rafal Dlugosz, Witold Pedrycz: Lukasiewicz fuzzy logic networks and their ultra low power hardware implementation. ESANN 2009
- [c105]Nick J. Pizzi, Witold Pedrycz: Discriminatory Components for Pattern Classification. IFSA/EUSFLAT Conf. 2009: 748-753
- [c104]Daniel Graves, Witold Pedrycz: Multivariate Segmentation of Time Series with Differential Evolution. IFSA/EUSFLAT Conf. 2009: 1108-1113
- [c103]Francisco Queiroz, Antonio Braga, Witold Pedrycz: Sorted Kernel Matrices as Cluster Validity Indexes. IFSA/EUSFLAT Conf. 2009: 1490-1495
- [c102]Azizul Azhar Ramli, Junzo Watada, Witold Pedrycz: New perspectives and applications of real-time fuzzy regression. FUZZ-IEEE 2009: 1451-1456
- [c101]Keon-Jun Park, Sung-Kwun Oh, Witold Pedrycz: Design of interval type-2 fuzzy neural networks and their optimization using real-coded genetic algorithms. FUZZ-IEEE 2009: 2013-2018
- [c100]Azizul Azhar Ramli, Junzo Watada, Witold Pedrycz: Real-time fuzzy switching regression analysis: a convex hull approach. iiWAS 2009: 284-291
- [c99]
- [c98]
- [c97]Shuming Wang, Junzo Watada, Witold Pedrycz: Fuzzy Random Facility Location Problems with Recourse. SMC 2009: 1846-1851
- [c96]Stuart Harvey Rubin, Witold Pedrycz: Numeric Data to Information Granules and Computing with Words. SMC 2009: 2972-2978
- [c95]Angelo Ciaramella, Witold Pedrycz, Alfredo Petrosino: Uninorm Based Fuzzy Network for Tree Data Structures. WILF 2009: 77-84
- [e10]Aboul Ella Hassanien, Ajith Abraham, Athanasios V. Vasilakos, Witold Pedrycz (Eds.): Foundations of Computational Intelligence, Volume 1: Learning and Approximation. Studies in Computational Intelligence 201, Springer 2009, ISBN 978-3-642-01081-1
- [e9]Patricia Melin, Janusz Kacprzyk, Witold Pedrycz (Eds.): Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition. Studies in Computational Intelligence 256, Springer 2009, ISBN 978-3-642-04515-8
- [e8]Oscar Castillo, Witold Pedrycz, Janusz Kacprzyk (Eds.): Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control. Studies in Computational Intelligence 257, Springer 2009, ISBN 978-3-642-04513-4
- [r1]Witold Pedrycz: Data and Dimensionality Reduction in Data Analysis and System Modeling. Encyclopedia of Complexity and Systems Science 2009: 1775-1789
- 2008
- [b4]Bruno Apolloni, Witold Pedrycz, Simone Bassis, Dario Malchiodi: The Puzzle of Granular Computing. Studies in Computational Intelligence 138, Springer 2008, ISBN 978-3-540-79863-7, pp. 3-449
- [j258]Witold Pedrycz, Richard Weber: Special issue on soft computing for dynamic data mining. Appl. Soft Comput. 8(4): 1281-1282 (2008)
- [j257]Rohani Binti Abu Bakar, Junzo Watada, Witold Pedrycz: DNA approach to solve clustering problem based on a mutual order. Biosystems 91(1): 1-12 (2008)
- [j256]Witold Pedrycz, Partab Rai: Collaborative clustering with the use of Fuzzy C-Means and its quantification. Fuzzy Sets and Systems 159(18): 2399-2427 (2008)
- [j255]Nick J. Pizzi, Witold Pedrycz: Effective classification using feature selection and fuzzy integration. Fuzzy Sets and Systems 159(21): 2859-2872 (2008)
- [j254]Jeoung-Nae Choi, Sung-Kwun Oh, Witold Pedrycz: Identification of fuzzy models using a successive tuning method with a variant identification ratio. Fuzzy Sets and Systems 159(21): 2873-2889 (2008)
- [j253]Minghu Ha, Witold Pedrycz, Aiquan Zhang, Yijun Fan: A Development of Inclusion-degree-based Rough Fuzzy Random Sets. Fundam. Inform. 86(4): 481-502 (2008)
- [j252]Jeoung-Nae Choi, Sung-Kwun Oh, Witold Pedrycz: Structural and parametric design of fuzzy inference systems using hierarchical fair competition-based parallel genetic algorithms and information granulation. Int. J. Approx. Reasoning 49(3): 631-648 (2008)
- [j251]Witold Pedrycz, Partab Rai, Jozef Zurada: Experience-Consistent Modeling for Radial Basis Function Neural Networks. Int. J. Neural Syst. 18(4): 279-292 (2008)
- [j250]Witold Pedrycz, Ho-Sung Park, Sung-Kwun Oh: A granular-oriented development of functional radial basis function neural networks. Neurocomputing 72(1-3): 420-435 (2008)
- [j249]Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh: Simplified Fuzzy Inference Rule-Based Genetically Optimized Hybrid Fuzzy Neural Networks. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 16(2): 245-274 (2008)
- [j248]Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh: An approach to fuzzy granule-based hierarchical polynomial networks for empirical data modeling in software engineering. Information & Software Technology 50(9-10): 912-923 (2008)
- [j247]Gabriel Jarillo, Witold Pedrycz, Marek Reformat: Aggregation of classifiers based on image transformations in biometric face recognition. Mach. Vis. Appl. 19(2): 125-140 (2008)
- [j246]Witold Pedrycz, Byoung-Jun Park, Sung-Kwun Oh: The design of granular classifiers: A study in the synergy of interval calculus and fuzzy sets in pattern recognition. Pattern Recognition 41(12): 3720-3735 (2008)
- [j245]Witold Pedrycz, Kaoru Hirota: A consensus-driven fuzzy clustering. Pattern Recognition Letters 29(9): 1333-1343 (2008)
- [j244]Witold Pedrycz: A dynamic data granulation through adjustable fuzzy clustering. Pattern Recognition Letters 29(16): 2059-2066 (2008)
- [j243]Ikno Kim, Junzo Watada, Witold Pedrycz: A DNA-based algorithm for arranging weighted cliques. Simulation Modelling Practice and Theory 16(10): 1561-1570 (2008)
- [j242]Gerardo Canfora, Witold Pedrycz: Special issue on Software Engineering and Soft Computing. Soft Comput. 12(1): 1-2 (2008)
- [j241]Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz: Numerical and Linguistic Prediction of Time Series With the Use of Fuzzy Cognitive Maps. IEEE T. Fuzzy Systems 16(1): 61-72 (2008)
- [j240]Andrzej Bargiela, Witold Pedrycz: Toward a Theory of Granular Computing for Human-Centered Information Processing. IEEE T. Fuzzy Systems 16(2): 320-330 (2008)
- [j239]Adam F. Gobi, Witold Pedrycz: Logic Minimization as an Efficient Means of Fuzzy Structure Discovery. IEEE T. Fuzzy Systems 16(3): 553-566 (2008)
- [j238]Witold Pedrycz, Alberto Amato, Vincenzo Di Lecce, Vincenzo Piuri: Fuzzy Clustering With Partial Supervision in Organization and Classification of Digital Images. IEEE T. Fuzzy Systems 16(4): 1008-1026 (2008)
- [j237]Witold Pedrycz, José Valente de Oliveira: A Development of Fuzzy Encoding and Decoding Through Fuzzy Clustering. IEEE T. Instrumentation and Measurement 57(4): 829-837 (2008)
- [j236]Witold Pedrycz, Partab Rai: A Multifaceted Perspective at Data Analysis: A Study in Collaborative Intelligent Agents. IEEE Transactions on Systems, Man, and Cybernetics, Part B 38(4): 1062-1072 (2008)
- [j235]Jonghwan Park, Moongu Jeon, Witold Pedrycz: Score-Based Resampling Method for Evolutionary Algorithms. IEEE Transactions on Systems, Man, and Cybernetics, Part B 38(5): 1347-1355 (2008)
- [c94]Raimund Moser, Witold Pedrycz, Giancarlo Succi: Analysis of the reliability of a subset of change metrics for defect prediction. ESEM 2008: 309-311
- [c93]Nicolino J. Pizzi, Witold Pedrycz: An analysis of potentially imprecise class labels using a fuzzy similarity measure. FUZZ-IEEE 2008: 667-672
- [c92]Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz: Data-driven Nonlinear Hebbian Learning method for Fuzzy Cognitive Maps. FUZZ-IEEE 2008: 1975-1981
- [c91]Raimund Moser, Witold Pedrycz, Giancarlo Succi: A comparative analysis of the efficiency of change metrics and static code attributes for defect prediction. ICSE 2008: 181-190
- [c90]Raimund Moser, Witold Pedrycz, Alberto Sillitti, Giancarlo Succi: A Model to Identify Refactoring Effort during Maintenance by Mining Source Code Repositories. PROFES 2008: 360-370
- [c89]Hamed O. Ghaffari, Mostafa Sharifzadeh, Witold Pedrycz: Phase Transition in SONFIS and SORST. RSCTC 2008: 339-348
- [c88]Bishal Barman, Sushmita Mitra, Witold Pedrycz: Shadowed Clustering for Speech Data and Medical Image Segmentation. RSCTC 2008: 475-484
- [c87]
- [c86]Seyed Koosha Golmohammadi, Marek Reformat, Witold Pedrycz: Fuzziness in the Semantic Web: Survey and Future Directions. SEKE 2008: 643-648
- [c85]Stuart H. Rubin, Gordon K. Lee, Witold Pedrycz, Shu-Ching Chen: Modeling human cognition using a transformational knowledge architecture. SoSE 2008: 1-6
- [c84]
- [p14]Witold Pedrycz: Neural Network Architectures. Wiley Encyclopedia of Computer Science and Engineering 2008
- [p13]James F. Peters, Witold Pedrycz: Computational Intelligence. Wiley Encyclopedia of Computer Science and Engineering 2008
- [p12]Sung-Kwun Oh, Witold Pedrycz: Genetically Optimized Hybrid Fuzzy Neural Networks: Analysis and Design of Rule-based Multi-layer Perceptron Architectures. Engineering Evolutionary Intelligent Systems 2008: 23-57
- [p11]Witold Pedrycz: A Quest for Adaptable and Interpretable Architectures of Computational Intelligence. Computational Intelligence Paradigms 2008: 25-49
- [p10]Sung-Kwun Oh, Witold Pedrycz: Genetically Optimized Self-organizing Neural Networks Based on Polynomial and Fuzzy Polynomial Neurons: Analysis and Design. Engineering Evolutionary Intelligent Systems 2008: 59-108
- [p9]Witold Pedrycz, Nikhil Ichalkaranje, Gloria E. Phillips-Wren, Lakhmi C. Jain: Introduction to Computational Intelligence for Decision Making. Intelligent Decision Making: An AI-Based Approach 2008: 79-96
- [p8]Witold Pedrycz: Semantics and Perception of Fuzzy Sets and Fuzzy Mappings. Computational Intelligence: A Compendium 2008: 597-639
- [p7]Toshihiro Kaino, Kaoru Hirota, Witold Pedrycz: Fuzzy Sensitivity Analysis and Its Application. Fuzzy Engineering Economics with Applications 2008: 183-216
- [e7]Emilio Corchado, Ajith Abraham, Witold Pedrycz (Eds.): Hybrid Artificial Intelligence Systems, Third International Workshop, HAIS 2008, Burgos, Spain, September 24-26, 2008. Proceedings. Lecture Notes in Computer Science 5271, Springer 2008, ISBN 978-3-540-87655-7
- [e6]Ajith Abraham, Crina Grosan, Witold Pedrycz (Eds.): Engineering Evolutionary Intelligent Systems. Studies in Computational Intelligence 82, Springer 2008, ISBN 978-3-540-75395-7
- [e5]Oscar Castillo, Patricia Melin, Janusz Kacprzyk, Witold Pedrycz (Eds.): Soft Computing for Hybrid Intelligent Systems. Studies in Computational Intelligence 154, Springer 2008, ISBN 978-3-540-70811-7
- [i2]Hamed Owladeghaffari, K. Shahriar, Witold Pedrycz: Graphical Estimation of Permeability Using RST&NFIS. CoRR abs/0804.0353 (2008)
- [i1]Hamed Owladeghaffari, Witold Pedrycz, Mostafa Sharifzadeh: Modeling of Social Transitions Using Intelligent Systems. CoRR abs/0810.2046 (2008)
- 2007
- [b3]Witold Pedrycz, Fernando A. C. Gomide: Fuzzy Systems Engineering - Toward Human-Centric Computing. Wiley 2007, ISBN 978-0-471-78857-7, pp. I-XXII, 1-526
- [j234]Xiaodong Liu, Witold Pedrycz: The development of fuzzy decision trees in the framework of Axiomatic Fuzzy Set logic. Appl. Soft Comput. 7(1): 325-342 (2007)
- [j233]Witold Pedrycz, Kaoru Hirota: Forming consensus in the networks of knowledge. Eng. Appl. of AI 20(5): 657-666 (2007)
- [j232]Ho-Sung Park, Witold Pedrycz, Sung-Kwun Oh: Evolutionary design of hybrid self-organizing fuzzy polynomial neural networks with the aid of information granulation. Expert Syst. Appl. 33(4): 830-846 (2007)
- [j231]Yongming Li, Witold Pedrycz: Minimization of lattice finite automata and its application to the decomposition of lattice languages. Fuzzy Sets and Systems 158(13): 1423-1436 (2007)
- [j230]Andrzej Bargiela, Witold Pedrycz, Tomoharu Nakashima: Multiple regression with fuzzy data. Fuzzy Sets and Systems 158(19): 2169-2188 (2007)
- [j229]Adam F. Gobi, Witold Pedrycz: Fuzzy modelling through logic optimization. Int. J. Approx. Reasoning 45(3): 488-510 (2007)
- [j228]Vincenzo Loia, Witold Pedrycz, Sabrina Senatore, Maria I. Sessa: Interactive knowledge management for agent-assisted web navigation. Int. J. Intell. Syst. 22(10): 1101-1122 (2007)
- [j227]Witold Pedrycz: Genetic tolerance fuzzy neural networks: From data to fuzzy hyperboxes. Neurocomputing 70(7-9): 1403-1413 (2007)
- [j226]Sung-Kwun Oh, Seok-Beom Roh, Witold Pedrycz, Tae-Chon Ahn: IG-based genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons. Neurocomputing 70(16-18): 2783-2798 (2007)
- [j225]Scott Dick, Adam Schenker, Witold Pedrycz, Abraham Kandel: Regranulation: A granular algorithm enabling communication between granular worlds. Inf. Sci. 177(2): 408-435 (2007)
- [j224]Sung-Kwun Oh, Witold Pedrycz, Keon-Jun Park: Identification of fuzzy systems by means of genetic optimization and data granulation. Journal of Intelligent and Fuzzy Systems 18(1): 31-41 (2007)
- [j223]Euntai Kim, Witold Pedrycz: Information granulation as a basis of fuzzy modeling. Journal of Intelligent and Fuzzy Systems 18(2): 123-148 (2007)
- [j222]Madhura Purnaprajna, Marek Reformat, Witold Pedrycz: Genetic algorithms for hardware-software partitioning and optimal resource allocation. Journal of Systems Architecture 53(7): 339-354 (2007)
- [j221]Giovanni Bortolan, Witold Pedrycz: Hyperbox classifiers for arrhythmia classification. Kybernetes 36(3/4): 531-547 (2007)
- [j220]Witold Pedrycz: Reconciliation of perception of information granules and granular mappings. Kybernetes 36(5/6): 709-720 (2007)
- [j219]Wing W. Y. Ng, Andrés Dorado, Daniel S. Yeung, Witold Pedrycz, Ebroul Izquierdo: Image classification with the use of radial basis function neural networks and the minimization of the localized generalization error. Pattern Recognition 40(1): 19-32 (2007)
- [j218]Witold Pedrycz, Kaoru Hirota: Fuzzy vector quantization with the particle swarm optimization: A study in fuzzy granulation-degranulation information processing. Signal Processing 87(9): 2061-2074 (2007)
- [j217]Keon-Jun Park, Witold Pedrycz, Sung-Kwun 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): 1128-1145 (2007)
- [j216]Sung-Kwun Oh, Witold Pedrycz, Keon-Jun Park: Structural developments of fuzzy systems with the aid of information granulation. Simulation Modelling Practice and Theory 15(10): 1292-1309 (2007)
- [j215]Witold Pedrycz, Kaoru Hirota: Uninorm-Based Logic Neurons as Adaptive and Interpretable Processing Constructs. Soft Comput. 11(1): 41-52 (2007)
- [j214]Eduardo Masato Iyoda, Takushi Shibata, Hajime Nobuhara, Witold Pedrycz, Kaoru Hirota: Image Compression and Reconstruction Using pit-Sigma Neural Networks. Soft Comput. 11(1): 53-61 (2007)
- [j213]Paulo Fazendeiro, José Valente de Oliveira, Witold Pedrycz: A Multiobjective Design of a Patient and Anaesthetist-Friendly Neuromuscular Blockade Controller. IEEE Trans. Biomed. Engineering 54(9): 1667-1678 (2007)
- [j212]Witold Pedrycz, Keun Chang Kwak: The Development of Incremental Models. IEEE T. Fuzzy Systems 15(3): 507-518 (2007)
- [j211]Vincenzo Loia, Witold Pedrycz, Sabrina Senatore: Semantic Web Content Analysis: A Study in Proximity-Based Collaborative Clustering. IEEE T. Fuzzy Systems 15(6): 1294-1312 (2007)
- [j210]Seok-Beom Roh, Witold Pedrycz, Sung-Kwun Oh: Genetic Optimization of Fuzzy Polynomial Neural Networks. IEEE Transactions on Industrial Electronics 54(4): 2219-2238 (2007)
- [j209]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park: Fuzzy Relation-Based Neural Networks and Their Hybrid Identification. IEEE T. Instrumentation and Measurement 56(6): 2522-2537 (2007)
- [j208]Keun Chang Kwak, Witold Pedrycz: Face Recognition Using an Enhanced Independent Component Analysis Approach. IEEE Transactions on Neural Networks 18(2): 530-541 (2007)
- [j207]Alireza Farhangfar, Lukasz A. Kurgan, Witold Pedrycz: A Novel Framework for Imputation of Missing Values in Databases. IEEE Transactions on Systems, Man, and Cybernetics, Part A 37(5): 692-709 (2007)
- [c83]Nick J. Pizzi, Mark D. Alexiuk, Witold Pedrycz: Classification of Biomedical Spectra Using Fuzzy Interquartile Encoding and Stochastic Feature Selection. CIDM 2007: 668-673
- [c82]Tomasz Talaska, Rafal Dlugosz, Witold Pedrycz: Adaptive Weight Change Mechanism for Kohonens's Neural Network Implemented in CMOS 0.18 um Technology. ESANN 2007: 151-156
- [c81]Pekka Abrahamsson, Raimund Moser, Witold Pedrycz, Alberto Sillitti, Giancarlo Succi: Effort Prediction in Iterative Software Development Processes -- Incremental Versus Global Prediction Models. ESEM 2007: 344-353
- [c80]M. Hadi Mashinchi, M. Reza Mashinchi, Siti Mariyam Hj. Shamsuddin, Witold Pedrycz: Genetically Tuned Fuzzy Back-propagation Learning Method Based On Derivation Of Min-max Function For Fuzzy Neural Networks. GEM 2007: 213-212
- [c79]Oscar Castillo, Patricia Melin, Janusz Kacprzyk, Witold Pedrycz: Type-2 Fuzzy Logic: Theory and Applications. GrC 2007: 145-150
- [c78]Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz: Optimization of IG-Based Fuzzy System with the Aid of GAs and Its Application to Software Process. International Conference on Computational Science (4) 2007: 1108-1115
- [c77]Keon-Jun Park, Sung-Kwun Oh, Hyun-Ki Kim, Witold Pedrycz, Seong-Whan Jang: Identification of Fuzzy Set-Based Fuzzy Systems by Means of Data Granulation and Genetic Optimization. ICCSA (3) 2007: 1076-1085
- [c76]Witold Pedrycz: Distributed and Collaborative Soft Computing: An Emerging Development Environment. ICCTA 2007: 231-241
- [c75]Raimund Moser, Pekka Abrahamsson, Witold Pedrycz, Alberto Sillitti, Giancarlo Succi: A Case Study on the Impact of Refactoring on Quality and Productivity in an Agile Team. CEE-SET 2007: 252-266
- [c74]Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz: Parallel Learning of Large Fuzzy Cognitive Maps. IJCNN 2007: 1584-1589
- [c73]Sung-Kwun Oh, In-Tae Lee, Witold Pedrycz, Hyun-Ki Kim: Design of Fuzzy Relation-Based Polynomial Neural Networks Using Information Granulation and Symbolic Gene Type Genetic Algorithms. ISNN (2) 2007: 206-215
- [c72]Raimund Moser, Witold Pedrycz, Giancarlo Succi: Incremental Effort Prediction Models in Agile Development using Radial Basis Functions. SEKE 2007: 519-522
- [c71]Angelo Ciaramella, Witold Pedrycz, Roberto Tagliaferri: The Genetic Development of Uninorm-Based Neurons. WILF 2007: 69-76
- [p6]Soowhan Han, Sungdae Park, Witold Pedrycz: MFCM for Nonlinear Blind Channel Equalization. Analysis and Design of Intelligent Systems using Soft Computing Techniques 2007: 88-98
- [p5]Daniel Graves, Witold Pedrycz: Fuzzy C-Means, Gustafson-Kessel FCM, and Kernel-Based FCM: A Comparative Study. Analysis and Design of Intelligent Systems using Soft Computing Techniques 2007: 140-149
- [p4]Mark D. Alexiuk, Nick J. Pizzi, Witold Pedrycz: Tuning FCMP to Elicit Novel Time Course Signatures in fMRI Neural Activation Studies. Analysis and Design of Intelligent Systems using Soft Computing Techniques 2007: 746-755
- [p3]Witold Pedrycz: Knowledge-Based Clustering in Computational Intelligence. Challenges for Computational Intelligence 2007: 317-341
- [e4]Oscar Castillo, Patricia Melin, Oscar Montiel, Roberto Sepúlveda, Witold Pedrycz, Janusz Kacprzyk (Eds.): Theoretical Advances and Applications of Fuzzy Logic and Soft Computing, Selection of Papers from IFSA 2007. Advances in Soft Computing 42, Springer 2007, ISBN 978-3-540-72433-9
- [e3]Patricia Melin, Oscar Castillo, Luis T. Aguilar, Janusz Kacprzyk, Witold Pedrycz (Eds.): Foundations of Fuzzy Logic and Soft Computing, 12th International Fuzzy Systems Association World Congress, IFSA 2007, Cancun, Mexico, June 18-21, 2007, Proceedings. Lecture Notes in Computer Science 4529, Springer 2007, ISBN 978-3-540-72917-4
- [e2]Aijun An, Jerzy Stefanowski, Sheela Ramanna, Cory J. Butz, Witold Pedrycz, Guoyin Wang (Eds.): Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007, Proceedings. Lecture Notes in Computer Science 4482, Springer 2007, ISBN 978-3-540-72529-9
- [e1]Patricia Melin, Oscar Castillo, Eduardo Gómez-Ramírez, Janusz Kacprzyk, Witold Pedrycz (Eds.): Analysis and Design of Intelligent Systems using Soft Computing Techniques, a selection of papers from IFSA 2007. Advances in Soft Computing 41, Springer 2007, ISBN 978-3-540-72431-5
- 2006
- [j206]Abdelhamid Bouchachia, Witold Pedrycz: Data Clustering with Partial Supervision. Data Min. Knowl. Discov. 12(1): 47-78 (2006)
- [j205]Abdelhamid Bouchachia, Witold Pedrycz: Enhancement of fuzzy clustering by mechanisms of partial supervision. Fuzzy Sets and Systems 157(13): 1733-1759 (2006)
- [j204]Witold Pedrycz, Keun Chang Kwak: Boosting of granular models. Fuzzy Sets and Systems 157(22): 2934-2953 (2006)
- [j203]Adam F. Gobi, Witold Pedrycz: The potential of fuzzy neural networks in the realization of approximate reasoning engines. Fuzzy Sets and Systems 157(22): 2954-2973 (2006)
- [j202]Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz, Antonio di Nola: Fuzzy relational neural network. Int. J. Approx. Reasoning 41(2): 146-163 (2006)
- [j201]Sung-Kwun Oh, Witold Pedrycz: The design of self-organizing neural networks based on PNs and FPNs with the aid of genetic optimization and extended GMDH method. Int. J. Approx. Reasoning 43(1): 26-58 (2006)
- [j200]Xiaofeng Liang, Witold Pedrycz: Fuzzy logic-based networks: A study in logic data interpretation. Int. J. Intell. Syst. 21(12): 1249-1267 (2006)
- [j199]Antonino Staiano, Roberto Tagliaferri, Witold Pedrycz: Improving RBF networks performance in regression tasks by means of a supervised fuzzy clustering. Neurocomputing 69(13-15): 1570-1581 (2006)
- [j198]Marco Ronchetti, Giancarlo Succi, Witold Pedrycz, Barbara Russo: Early estimation of software size in object-oriented environments a case study in a CMM level 3 software firm. Inf. Sci. 176(5): 475-489 (2006)
- [j197]Hajime Nobuhara, Witold Pedrycz, Salvatore Sessa, Kaoru Hirota: A motion compression/reconstruction method based on max t-norm composite fuzzy relational equations. Inf. Sci. 176(17): 2526-2552 (2006)
- [j196]Sung-Kwun Oh, Witold Pedrycz, Seok-Beom Roh: Genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons. Inf. Sci. 176(23): 3490-3519 (2006)
- [j195]Andrea Janes, Marco Scotto, Witold Pedrycz, Barbara Russo, Milorad Stefanovic, Giancarlo Succi: Identification of defect-prone classes in telecommunication software systems using design metrics. Inf. Sci. 176(24): 3711-3734 (2006)
- [j194]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park: Genetically Optimized Multi-Layer Fuzzy Polynomial Neural Networks: Analysis and Design. JACIII 10(1): 35-49 (2006)
- [j193]Vincenzo Loia, Witold Pedrycz, Sabrina Senatore, Maria I. Sessa: Web navigation support by means of proximity-driven assistant agents. JASIST 57(4): 515-527 (2006)
- [j192]Witold Pedrycz: Quantitative logic-based framework for agile methodologies. Journal of Systems Architecture 52(11): 700-707 (2006)
- [j191]Gabriel Alvarado, Witold Pedrycz, Marek Reformat, Keun Chang Kwak: Deterioration of visual information in face classification using Eigenfaces and Fisherfaces. Mach. Vis. Appl. 17(1): 68-82 (2006)
- [j190]Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh: Fuzzy polynomial neurons as neurofuzzy processing units. Neural Computing and Applications 15(3-4): 310-327 (2006)
- [j189]Sushmita Mitra, Witold Pedrycz: Special Issue on Bioinformatics. Pattern Recognition 39(12): 2265-2266 (2006)
- [j188]Sung-Kwun Oh, Witold Pedrycz: Genetic optimization-driven multi-layer hybrid fuzzy neural networks. Simulation Modelling Practice and Theory 14(5): 597-613 (2006)
- [j187]Yongming Li, Witold Pedrycz: The equivalence between fuzzy Mealy and fuzzy Moore machines. Soft Comput. 10(10): 953-959 (2006)
- [j186]Adam Gacek, Witold Pedrycz: A Granular Description of ECG Signals. IEEE Trans. Biomed. Engineering 53(10): 1972-1982 (2006)
- [j185]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park: Genetically optimized fuzzy polynomial neural networks. IEEE T. Fuzzy Systems 14(1): 125-144 (2006)
- [j184]Witold Pedrycz: Logic-Based Fuzzy Neurocomputing With Unineurons. IEEE T. Fuzzy Systems 14(6): 860-873 (2006)
- [j183]Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park: A New Approach to the Development of Genetically Optimized Multilayer Fuzzy Polynomial Neural Networks. IEEE Transactions on Industrial Electronics 53(4): 1309-1321 (2006)
- [j182]Witold Pedrycz, Marek Reformat, Kuwen Li: OR/AND neurons and the development of interpretable logic models. IEEE Transactions on Neural Networks 17(3): 636-658 (2006)
- [j181]Witold Pedrycz, Keun Chang Kwak: Linguistic models as a framework of user-centric system modeling. IEEE Transactions on Systems, Man, and Cybernetics, Part A 36(4): 727-745 (2006)
- [c70]Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz: Design Methodologies of Fuzzy Set-Based Fuzzy Model Based on GAs and Information Granulation. Australian Conference on Artificial Intelligence 2006: 100-109
- [c69]Mark D. Alexiuk, G. Sawatzky, Nicolino J. Pizzi, Witold Pedrycz: Captology in Narrowcast Advertising: A Swarm Simulation of Persuasion Models. CCECE 2006: 1723-1726
- [c68]
- [c67]Bruno Apolloni, Simone Bassis, Dario Malchiodi, Witold Pedrycz: Interpolating Support Information Granules. ICANN (2) 2006: 270-281
- [c66]Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz: Design of Fuzzy Neural Networks Based on Genetic Fuzzy Granulation and Regression Polynomial Fuzzy Inference. ISNN (1) 2006: 786-791
- [c65]Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz: Consecutive Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Data Granulation. ISNN (2) 2006: 815-820
- [c64]Sung-Kwun Oh, Witold Pedrycz, Wan-Su Kim, Hyun-Ki Kim: GA-Based Polynomial Neural Networks Architecture and Its Application to Multi-variable Software Process. PRICAI 2006: 834-838
- [c63]
- [c62]Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz: Methodological Identification of Information Granules-Based Fuzzy Systems by Means of Genetic Optimization. RSCTC 2006: 467-476
- [c61]Jeoung-Nae Choi, Sung-Kwun Oh, Witold Pedrycz: Optimization of Information Granulation-Oriented Fuzzy Set Model Using Hierarchical Fair Competition-Based Parallel Genetic Algorithms. RSCTC 2006: 477-486
- [c60]Tomasz Talaska, Ryszard Wojtyna, Rafal Dlugosz, Krzysztof Iniewski, Witold Pedrycz: Analog-Counter-Based Conscience Mechanism in Kohonen's Neural Network Implemented in CMOS 0.18 m Technology. SiPS 2006: 416-421
- [c59]L. Chen, Witold Pedrycz, C. L. Philip Chen: Computational Intelligence Techniques for Building Transparent Construction Performance Models. SMC 2006: 1166-1171
- 2005
- [b2]Witold Pedrycz: Knowledge-based clustering - from data to information granules. Wiley 2005, ISBN 978-0-471-46966-7, pp. I-XVII, 1-316
- [j180]Hajime Nobuhara, Kaoru Hirota, Salvatore Sessa, Witold Pedrycz: Efficient decomposition methods of fuzzy relation and their application to image decomposition. Appl. Soft Comput. 5(4): 399-408 (2005)
- [j179]