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Witold Pedrycz: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz
    Design Methodologies of Fuzzy Set-Based Fuzzy Model Based on GAs and Information Granulation. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2006, pp:100-109 [Conf]
  2. Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz, Tae-Chon Ahn
    Design of Information Granules-Based Fuzzy Systems Using Clustering Algorithm and Genetic Optimization. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2005, pp:1142-1145 [Conf]
  3. Andrzej Bargiela, Witold Pedrycz, Kaoru Hirota
    Logic-Based Granular Prototyping. [Citation Graph (0, 0)][DBLP]
    COMPSAC, 2002, pp:1164-1169 [Conf]
  4. Zaifu Zhang, Robert D. McLeod, Witold Pedrycz
    Augmenting Scan Path SRLs with an XOR Network to Enhance Delay Fault Testing. [Citation Graph (0, 0)][DBLP]
    DFT, 1994, pp:55-64 [Conf]
  5. Antonio di Nola, Witold Pedrycz, Salvatore Sessa
    Difference Fuzzy Relation Equations: Studies in Dynamical Systems. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 1991, pp:161-165 [Conf]
  6. Madhura Purnaprajna, Marek Reformat, Witold Pedrycz
    Genetic Algorithms in Hardware-Software Partitioning. [Citation Graph (0, 0)][DBLP]
    ERSA, 2004, pp:123-129 [Conf]
  7. Roelof K. Brouwer, Witold Pedrycz
    One-to-many mappings represented on feed-forward networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2001, pp:365-370 [Conf]
  8. Andrés Dorado, Divna Djordjevic, Ebroul Izquierdo, Witold Pedrycz
    Supervised Semantic Scene Classification Based on Low-Level Clustering and Relevance Feedback. [Citation Graph (0, 0)][DBLP]
    EWIMT, 2004, pp:- [Conf]
  9. Vincenzo Loia, Witold Pedrycz, Sabrina Senatore, Maria I. Sessa
    Proactive Utilization of Proximity-Oriented Information Inside an Agent-based Framework. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2004, pp:- [Conf]
  10. Wladyslaw Homenda, Witold Pedrycz
    Symmetrization of Fuzzy Operators: Notes on Data Aggregation. [Citation Graph (0, 0)][DBLP]
    FSKD, 2002, pp:23-27 [Conf]
  11. Keun Chang Kwak, Witold Pedrycz, Myung-Geun Chun
    Modeling Nonlinear Systems: An Approach of Boosted Linguistic Models. [Citation Graph (0, 0)][DBLP]
    FSKD (2), 2005, pp:514-523 [Conf]
  12. Hajime Nobuhara, Witold Pedrycz, Kaoru Hirota
    Fuzzy Relational Image Compression using Non-Uniform Coders Designed by an Overlap Level of Fuzzy Sets. [Citation Graph (0, 0)][DBLP]
    FSKD, 2002, pp:290-294 [Conf]
  13. Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz
    Fuzzy Relations Neural Network: Some Preliminary Results. [Citation Graph (0, 0)][DBLP]
    FUZZ-IEEE, 2001, pp:469-472 [Conf]
  14. Pratit Santiprabhob, Hung T. Nguyen, Witold Pedrycz, Vladik Kreinovich
    Logic-motivated Choice of Fuzzy Logic Operators. [Citation Graph (0, 0)][DBLP]
    FUZZ-IEEE, 2001, pp:646-649 [Conf]
  15. Witold Pedrycz
    Modelling with Fuzzy Sets in Fuzzy Control. [Citation Graph (0, 0)][DBLP]
    Fuzzy Days, 1992, pp:3-34 [Conf]
  16. Witold Pedrycz
    Granular Modeling: The Synergy of Granular Computing and Fuzzy Logic. [Citation Graph (0, 0)][DBLP]
    HIS, 2004, pp:4- [Conf]
  17. Bruno Apolloni, Simone Bassis, Dario Malchiodi, Witold Pedrycz
    Interpolating Support Information Granules. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2006, pp:270-281 [Conf]
  18. Byoung-Jun Park, Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn
    Information Granulation-Based Multi-layer Hybrid Fuzzy Neural Networks: Analysis and Design. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science, 2004, pp:188-195 [Conf]
  19. Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Yongkab Kim
    Genetically Dynamic Optimization Based Fuzzy Polynomial Neural Networks. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (1), 2005, pp:792-797 [Conf]
  20. Byoung-Jun Park, Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim
    Design of Evolutionally Optimized Rule-Based Fuzzy Neural Networks Based on Fuzzy Relation and Evolutionary Optimization. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (3), 2005, pp:1100-1103 [Conf]
  21. Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim, Jong-Beom Lee
    Self-Organizing Multi-layer Fuzzy Polynomial Neural Networks Based on Genetic Optimization. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science, 2004, pp:179-187 [Conf]
  22. Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Tae-Chon Ahn
    Genetically Optimized Hybrid Fuzzy Neural Networks Based on Simplified Fuzzy Inference Rules and Polynomial Neurons. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (1), 2005, pp:798-803 [Conf]
  23. Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Hyun-Ki Kim
    Evolutionally Optimized Fuzzy Neural Networks Based on Evolutionary Fuzzy Granulation. [Citation Graph (0, 0)][DBLP]
    ICCSA (4), 2005, pp:887-895 [Conf]
  24. Giancarlo Succi, Jason Yip, Eric Liu, Witold Pedrycz
    Holmes: a system to support software product lines. [Citation Graph (0, 0)][DBLP]
    ICSE, 2000, pp:786- [Conf]
  25. Giancarlo Succi, Jason Yip, Witold Pedrycz
    Holmes: An Intelligent System to Support Software Product Line Development. [Citation Graph (0, 0)][DBLP]
    ICSE, 2001, pp:829-830 [Conf]
  26. Abdelhamid Bouchachia, Witold Pedrycz
    A Semi-supervised Clutsering Algorithm for Data Exploration. [Citation Graph (0, 0)][DBLP]
    IFSA, 2003, pp:328-337 [Conf]
  27. Witold Pedrycz
    Fuzzy Dynamic Systems. [Citation Graph (0, 0)][DBLP]
    Fuzzy Logic and Fuzzy Control, 1991, pp:37-44 [Conf]
  28. Nicolino J. Pizzi, Witold Pedrycz
    Fuzzy Set Theoretic Adjustment to Training Set Class Labels Using Robust Location Measures. [Citation Graph (0, 0)][DBLP]
    IJCNN (3), 2000, pp:109-114 [Conf]
  29. Witold Pedrycz
    Granular Computing in Knowledge Integration and Reuse. [Citation Graph (0, 0)][DBLP]
    IRI, 2005, pp:- [Conf]
  30. Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Yong-Soo Kim
    A New Approach to Self-Organizing Polynomial Neural Networks by Means of Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2004, pp:174-179 [Conf]
  31. Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz
    Design of Fuzzy Neural Networks Based on Genetic Fuzzy Granulation and Regression Polynomial Fuzzy Inference. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:786-791 [Conf]
  32. Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz
    Consecutive Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Data Granulation. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2006, pp:815-820 [Conf]
  33. Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim
    Genetically Optimized Self-Organizing Neural Networks Based on PNs and FPNs. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2004, pp:156-161 [Conf]
  34. Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Daehee Park, Yongkab Kim
    A New Approach to Self-Organizing Hybrid Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2004, pp:162-167 [Conf]
  35. Edyta Mrówka, Andrés Dorado, Witold Pedrycz, Ebroul Izquierdo
    Dimensionality Reduction for Content-Based Image Classification. [Citation Graph (0, 0)][DBLP]
    IV, 2004, pp:435-438 [Conf]
  36. Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim, Yong-Kab Kim
    Genetically Optimized Hybrid Fuzzy Neural Networks with the Aid of TSK Fuzzy Inference Rules and Polynomial Neural Networks. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:407-415 [Conf]
  37. Sung-Kwun Oh, Seok-Beom Roh, Witold Pedrycz, Jong-Beom Lee
    IG-Based Genetically Optimized Fuzzy Polynomial Neural Networks. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:416-423 [Conf]
  38. Andrzej Bargiela, Witold Pedrycz, Masahiro Tanaka
    Exclusion/Inclusion Fuzzy Classification Network. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:1236-1241 [Conf]
  39. Yasue Mitsukura, Kensuke Mitsukura, Minoru Fukumi, Norio Akamatsu, Witold Pedrycz
    Medical Diagnosis System Using the Intelligent Fuzzy Systems. [Citation Graph (0, 0)][DBLP]
    KES, 2004, pp:807-826 [Conf]
  40. Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim
    Genetically Dynamic Optimized Self-organizing Fuzzy Polynomial Neural Networks with Information Granulation Based FPNs. [Citation Graph (0, 0)][DBLP]
    MDAI, 2005, pp:346-353 [Conf]
  41. Sung-Kwun Oh, Seok-Beom Roh, Witold Pedrycz
    A New Approach to Genetically Optimized Hybrid Fuzzy Set-Based Polynomial Neural Networks with FSPNs and PNs. [Citation Graph (0, 0)][DBLP]
    MDAI, 2005, pp:328-337 [Conf]
  42. Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz
    Optimization of Fuzzy Systems Based on Fuzzy Set Using Genetic Optimization and Information Granulation. [Citation Graph (0, 0)][DBLP]
    MDAI, 2005, pp:316-327 [Conf]
  43. Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Hyun-Ki Kim
    Genetically Optimized Hybrid Fuzzy Neural Networks in Modeling Software Data. [Citation Graph (0, 0)][DBLP]
    MDAI, 2005, pp:338-345 [Conf]
  44. Petr Musílek, Witold Pedrycz, Nan Sun, Giancarlo Succi
    On the Sensitivity of COCOMO II Software Cost Estimation Model. [Citation Graph (0, 0)][DBLP]
    IEEE METRICS, 2002, pp:13-20 [Conf]
  45. Roelof K. Brouwer, Witold Pedrycz
    A Feed Forward Network and Its Training Algorithm for Producing Sets. [Citation Graph (0, 0)][DBLP]
    Neural Networks and Computational Intelligence, 2003, pp:112-117 [Conf]
  46. S. Djoki, Giancarlo Succi, Witold Pedrycz, Martin P. Mintchev
    Meta Analysis - A Method of Combining Empirical Results and its Application in Object-Oriented Software Systems. [Citation Graph (0, 0)][DBLP]
    OOIS, 2001, pp:103-112 [Conf]
  47. Gabriel Jarillo, Giancarlo Succi, Witold Pedrycz, Marek Reformat
    Analysis of Software Engineering Data Using Computational Intelligence Techniques. [Citation Graph (0, 0)][DBLP]
    OOIS, 2001, pp:133-0 [Conf]
  48. Sushmita Mitra, Haider Banka, Witold Pedrycz
    Collaborative Rough Clustering. [Citation Graph (0, 0)][DBLP]
    PReMI, 2005, pp:768-773 [Conf]
  49. 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. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2006, pp:834-838 [Conf]
  50. Jeoung-Nae Choi, Sung-Kwun Oh, Witold Pedrycz
    Optimization of Information Granulation-Oriented Fuzzy Set Model Using Hierarchical Fair Competition-Based Parallel Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    RSCTC, 2006, pp:477-486 [Conf]
  51. Wladyslaw Homenda, Witold Pedrycz
    Balanced Fuzzy Gates. [Citation Graph (0, 0)][DBLP]
    RSCTC, 2006, pp:107-116 [Conf]
  52. Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz
    Methodological Identification of Information Granules-Based Fuzzy Systems by Means of Genetic Optimization. [Citation Graph (0, 0)][DBLP]
    RSCTC, 2006, pp:467-476 [Conf]
  53. Andrés Dorado, Witold Pedrycz, Ebroul Izquierdo
    User-Driven Fuzzy Clustering: On the Road to Semantic Classification. [Citation Graph (0, 0)][DBLP]
    RSFDGrC (1), 2005, pp:421-430 [Conf]
  54. Sung-Kwun Oh, James F. Peters, Witold Pedrycz, Tae-Chon Ahn
    Genetically Optimized Rule-Based Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 2003, pp:437-444 [Conf]
  55. Witold Pedrycz
    Granular Computing with Shadowed Sets. [Citation Graph (0, 0)][DBLP]
    RSFDGrC (1), 2005, pp:23-32 [Conf]
  56. Witold Pedrycz, Athanasios V. Vasilakos, Adam Gacek
    Information Granulation for Concept Formation. [Citation Graph (0, 0)][DBLP]
    SAC (1), 2000, pp:484-489 [Conf]
  57. Athanasios V. Vasilakos, Kostas G. Anagnostakis, Witold Pedrycz
    Application of computational intelligence techniques in active networks. [Citation Graph (0, 0)][DBLP]
    SAC, 2001, pp:448-455 [Conf]
  58. Witold Pedrycz
    Computational intelligence as an emerging paradigm of software engineering. [Citation Graph (0, 0)][DBLP]
    SEKE, 2002, pp:7-14 [Conf]
  59. Antonino Staiano, Roberto Tagliaferri, Witold Pedrycz
    Linear Regression Model-Guided Clustering for Training RBF Networks for Regression Problems. [Citation Graph (0, 0)][DBLP]
    WILF, 2003, pp:127-132 [Conf]
  60. Angelo Ciaramella, Witold Pedrycz, Roberto Tagliaferri
    OR/AND Neurons for Fuzzy Set Connectives Using Ordinal Sums and Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    WILF, 2005, pp:188-194 [Conf]
  61. Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz, Antonio di Nola
    Fuzzy Relational Neural Network for Data Analysis. [Citation Graph (0, 0)][DBLP]
    WILF, 2003, pp:103-109 [Conf]
  62. Bruno Apolloni, D. Iannizzi, Dario Malchiodi, Witold Pedrycz
    Granular Regression. [Citation Graph (0, 0)][DBLP]
    WIRN/NAIS, 2005, pp:147-156 [Conf]
  63. Witold Pedrycz
    Distributed and Collaborative Soft Computing: An Emerging Development Environment. [Citation Graph (0, 0)][DBLP]
    ICCTA, 2007, pp:231-241 [Conf]
  64. Sung-Kwun Oh, Witold Pedrycz
    A new approach to self-organizing multi-layer fuzzy polynomial neural networks based on genetic optimization. [Citation Graph (0, 0)][DBLP]
    Advanced Engineering Informatics, 2004, v:18, n:1, pp:29-39 [Journal]
  65. Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park
    Implicit rule-based fuzzy-neural networks using the identification algorithm of GA hybrid scheme based on information granulation. [Citation Graph (0, 0)][DBLP]
    Advanced Engineering Informatics, 2002, v:16, n:4, pp:247-263 [Journal]
  66. Giovanni Bortolan, Witold Pedrycz
    An interactive framework for an analysis of ECG signals. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2002, v:24, n:2, pp:109-132 [Journal]
  67. Witold Pedrycz, Arnon Breuer, Nicolino J. Pizzi
    Genetic design of feature spaces for pattern classifiers. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2004, v:32, n:2, pp:115-125 [Journal]
  68. Roelof K. Brouwer, Witold Pedrycz
    Training a feed-forward network with incomplete data due to missing input variables. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2003, v:3, n:1, pp:23-36 [Journal]
  69. Hajime Nobuhara, Kaoru Hirota, Salvatore Sessa, Witold Pedrycz
    Efficient decomposition methods of fuzzy relation and their application to image decomposition. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2005, v:5, n:4, pp:399-408 [Journal]
  70. Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn
    Self-organizing neural networks with fuzzy polynomial neurons. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2002, v:2, n:1, pp:1-10 [Journal]
  71. Xiaodong Liu, Witold Pedrycz
    The development of fuzzy decision trees in the framework of Axiomatic Fuzzy Set logic. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2007, v:7, n:1, pp:325-342 [Journal]
  72. Sung-Kwun Oh, Dae-Keun Lee, Witold Pedrycz, Dong-Hwa Kim
    The Genetic Design Of Hybrid Fuzzy Controllers. [Citation Graph (0, 0)][DBLP]
    Cybernetics and Systems, 2004, v:35, n:4, pp:333-361 [Journal]
  73. Abdelhamid Bouchachia, Witold Pedrycz
    Data Clustering with Partial Supervision. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2006, v:12, n:1, pp:47-78 [Journal]
  74. Giancarlo Succi, Witold Pedrycz, Snezana Djokic, Paolo Zuliani, Barbara Russo
    An Empirical Exploration of the Distributions of the Chidamber and Kemerer Object-Oriented Metrics Suite. [Citation Graph (0, 0)][DBLP]
    Empirical Software Engineering, 2005, v:10, n:1, pp:81-104 [Journal]
  75. Giancarlo Succi, Witold Pedrycz, Milorad Stefanovic, Barbara Russo
    An Investigation on the Occurrence of Service Requests in Commercial Software Applications. [Citation Graph (0, 0)][DBLP]
    Empirical Software Engineering, 2003, v:8, n:2, pp:197-215 [Journal]
  76. Ho-Sung Park, Witold Pedrycz, Sung-Kwun Oh
    Evolutionary design of hybrid self-organizing fuzzy polynomial neural networks with the aid of information granulation. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2007, v:33, n:4, pp:830-846 [Journal]
  77. Giovanni Bortolan, Witold Pedrycz
    Linguistic neurocomputing: the design of neural networks in the framework of fuzzy sets. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2002, v:128, n:3, pp:389-412 [Journal]
  78. Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz
    The genetic development of ordinal sums. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2005, v:151, n:2, pp:303-325 [Journal]
  79. Kaoru Hirota, Witold Pedrycz
    Data compression with fuzzy relational equations. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2002, v:126, n:3, pp:325-335 [Journal]
  80. Yongming Li, Witold Pedrycz
    Fuzzy finite automata and fuzzy regular expressions with membership values in lattice-ordered monoids. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2005, v:156, n:1, pp:68-92 [Journal]
  81. Sung-Kwun Oh, Witold Pedrycz
    Self-organizing polynomial neural networks based on polynomial and fuzzy polynomial neurons: analysis and design. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2004, v:142, n:2, pp:163-198 [Journal]
  82. Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park
    Hybrid identification in fuzzy-neural networks. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2003, v:138, n:2, pp:399-426 [Journal]
  83. Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park
    Self-organizing neurofuzzy networks in modeling software data. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2004, v:145, n:1, pp:165-181 [Journal]
  84. Witold Pedrycz
    Fuzzy equalization in the construction of fuzzy sets. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2001, v:119, n:2, pp:329-335 [Journal]
  85. Witold Pedrycz, Mehmet Aksit
    Editorial. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2004, v:145, n:1, pp:1-2 [Journal]
  86. Witold Pedrycz, Heloisa de Arruda Camargo
    Fuzzy timed Petri nets. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2003, v:140, n:2, pp:301-330 [Journal]
  87. Witold Pedrycz, Vincenzo Loia, Sabrina Senatore
    P-FCM: a proximity -- based fuzzy clustering. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2004, v:148, n:1, pp:21-41 [Journal]
  88. Witold Pedrycz, Marek Reformat
    Genetically optimized logic models. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2005, v:150, n:2, pp:351-371 [Journal]
  89. Witold Pedrycz, Zenon A. Sosnowski
    The design of decision trees in the framework of granular data and their application to software quality models. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2001, v:123, n:3, pp:271-290 [Journal]
  90. Marek Reformat, Witold Pedrycz, Nicolino J. Pizzi
    Building a software experience factory using granular-based models. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2004, v:145, n:1, pp:111-139 [Journal]
  91. Shounak Roychowdhury, Witold Pedrycz
    Modeling temporal functions with granular regression and fuzzy rules. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2002, v:126, n:3, pp:377-387 [Journal]
  92. Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz, Marek Reformat
    Genetic learning of fuzzy cognitive maps. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2005, v:153, n:3, pp:371-401 [Journal]
  93. Witold Pedrycz, Keun Chang Kwak
    Boosting of granular models. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2006, v:157, n:22, pp:2934-2953 [Journal]
  94. Abdelhamid Bouchachia, Witold Pedrycz
    Enhancement of fuzzy clustering by mechanisms of partial supervision. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2006, v:157, n:13, pp:1733-1759 [Journal]
  95. Adam F. Gobi, Witold Pedrycz
    The potential of fuzzy neural networks in the realization of approximate reasoning engines. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2006, v:157, n:22, pp:2954-2973 [Journal]
  96. Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz, Antonio di Nola
    Fuzzy relational neural network. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2006, v:41, n:2, pp:146-163 [Journal]
  97. Vincenzo Loia, Witold Pedrycz, Sabrina Senatore
    P-FCM: a proximity-based fuzzy clustering for user-centered web applications. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2003, v:34, n:2-3, pp:121-144 [Journal]
  98. 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. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2006, v:43, n:1, pp:26-58 [Journal]
  99. Antonio di Nola, Witold Pedrycz, Salvatore Sessa
    An aspect of discrepancy in the implementation of modus ponens in the presence of fuzzy quantities. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1989, v:3, n:3, pp:259-265 [Journal]
  100. Antonio di Nola, Salvatore Sessa, Witold Pedrycz
    A study on approximate reasoning mechanisms via fuzzy relation equations. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1992, v:6, n:1, pp:33-44 [Journal]
  101. Witold Pedrycz
    Knowledge representation in medicine and clinical behavioural science : L. J. Kohout and W. Bandler, Eds., Abacus Press, Tunbridge Wells, Kent, 1988, $24.50 . [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1989, v:3, n:6, pp:467-469 [Journal]
  102. Witold Pedrycz
    Fuzzy logic in development of fundamentals of pattern recognition. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1991, v:5, n:3, pp:251-264 [Journal]
  103. Witold Pedrycz, Adam Gacek
    Learning of Fuzzy Automata. [Citation Graph (0, 0)][DBLP]
    International Journal of Computational Intelligence and Applications, 2001, v:1, n:1, pp:19-33 [Journal]
  104. Witold Pedrycz, George Vukovich
    Stability of Information Granulation and Information Granules. [Citation Graph (0, 0)][DBLP]
    International Journal of Computational Intelligence and Applications, 2002, v:2, n:2, pp:221-238 [Journal]
  105. Witold Pedrycz
    Logic-Oriented Fuzzy Neural Networks. [Citation Graph (0, 0)][DBLP]
    Int. J. Hybrid Intell. Syst., 2004, v:1, n:1, pp:3-11 [Journal]
  106. Kaori Yoshida, Witold Pedrycz
    Guest Editorial - Special issue: Recent developments in hybrid intelligent systems. [Citation Graph (0, 0)][DBLP]
    Int. J. Hybrid Intell. Syst., 2005, v:2, n:4, pp:235-236 [Journal]
  107. Vincenzo Loia, Witold Pedrycz, Salvatore Sessa
    Fuzzy Relation Calculus in the Compression and Decompression of Fuzzy Relations. [Citation Graph (0, 0)][DBLP]
    Int. J. Image Graphics, 2002, v:2, n:4, pp:617-632 [Journal]
  108. Witold Pedrycz
    Associations and rules in data mining: A link analysis. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2004, v:19, n:7, pp:653-670 [Journal]
  109. Witold Pedrycz, George Vukovich
    Granular worlds: Representation and communication problems. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2000, v:15, n:11, pp:1015-1026 [Journal]
  110. Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park
    Hybrid identification of fuzzy rule-based models. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2002, v:17, n:1, pp:77-103 [Journal]
  111. Witold Pedrycz, George Vukovich
    Granular computing with shadowed sets. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2002, v:17, n:2, pp:173-197 [Journal]
  112. Yongming Li, Dechao Li, Witold Pedrycz, Jingjie Wu
    An approach to measure the robustness of fuzzy reasoning. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2005, v:20, n:4, pp:393-413 [Journal]
  113. Shounak Roychowdhury, Witold Pedrycz
    A survey of defuzzification strategies. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2001, v:16, n:6, pp:679-695 [Journal]
  114. Xiaofeng Liang, Witold Pedrycz
    Fuzzy logic-based networks: A study in logic data interpretation. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2006, v:21, n:12, pp:1249-1267 [Journal]
  115. Ernest Czogala, Witold Pedrycz
    Some Problems Concerning the Construction of Algorithms of Decision-Making in Fuzzy Systems. [Citation Graph (0, 0)][DBLP]
    International Journal of Man-Machine Studies, 1981, v:15, n:2, pp:201-211 [Journal]
  116. Siegfried Gottwald, Witold Pedrycz
    On the Suitability of Fuzzy Models: An Evaluation Through Fuzzy Integrals. [Citation Graph (0, 0)][DBLP]
    International Journal of Man-Machine Studies, 1986, v:24, n:2, pp:141-151 [Journal]
  117. Vilém Novák, Witold Pedrycz
    Fuzzy Sets and T-Norms in the Light of Fuzzy Logic. [Citation Graph (0, 0)][DBLP]
    International Journal of Man-Machine Studies, 1988, v:29, n:2, pp:113-127 [Journal]
  118. Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park
    Multi-layer hybrid fuzzy polynomial neural networks: a design in the framework of computational intelligence. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:64, n:, pp:397-431 [Journal]
  119. Sankar K. Pal, Witold Pedrycz, Andrzej Skowron, Roman W. Swiniarski
    Presenting the special issue on Rough-neuro computing : Preface. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2001, v:36, n:1-4, pp:1-3 [Journal]
  120. Witold Pedrycz
    Adaptive Processing of Sequences and Data Structures, : C. Lee Giles and Marco Gori (Eds.); Springer, Berlin, 1998, pp. 434, ISBN 3-540-64341-9. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:35, n:1-4, pp:203-204 [Journal]
  121. Witold Pedrycz
    Knowledge-based neurocomputing. Ian Cloete and Jacek M. Zuranda (Eds.); MIT Press, Cambridge, MA, 2000, pp 486, ISBN 0-262-03274-0. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:47, n:1-4, pp:299-300 [Journal]
  122. Witold Pedrycz
    Advances in Kernel Methods. Support Vector Learning, B. Scholkopf, C.J.C. Burges, A.J. Smola (Eds.); MIT Press, Cambridge, 1999, pp 376+vii, ISBN 0-262-19416-3. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:47, n:1-4, pp:303-304 [Journal]
  123. Witold Pedrycz, Myung-Geun Chun, Giancarlo Succi
    N4: computing with neural receptive fields. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:55, n:1-2, pp:383-401 [Journal]
  124. Witold Pedrycz, Liting Han, James F. Peters, Sheela Ramanna, R. Zhai
    Calibration of software quality: Fuzzy neural and rough neural computing approaches. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2001, v:36, n:1-4, pp:149-170 [Journal]
  125. Witold Pedrycz, George Vukovich
    Granular neural networks. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2001, v:36, n:1-4, pp:205-224 [Journal]
  126. Antonino Staiano, Roberto Tagliaferri, Witold Pedrycz
    Improving RBF networks performance in regression tasks by means of a supervised fuzzy clustering. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:13-15, pp:1570-1581 [Journal]
  127. Witold Pedrycz, Giancarlo Succi, Myung-Geun Chun
    Association Analysis of Software Measures. [Citation Graph (0, 0)][DBLP]
    International Journal of Software Engineering and Knowledge Engineering, 2002, v:12, n:3, pp:291-316 [Journal]
  128. Giovanni Bortolan, Witold Pedrycz
    Fuzzy Encoding and Decoding: A Study in Information Granularity. [Citation Graph (0, 0)][DBLP]
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1997, v:5, n:1, pp:71-92 [Journal]
  129. Pawel Brzeminski, Witold Pedrycz
    Textual-Based Clustering Of Web Documents. [Citation Graph (0, 0)][DBLP]
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2004, v:12, n:6, pp:715-744 [Journal]
  130. Wladyslaw Homenda, Witold Pedrycz
    Balanced fuzzy computing unit. [Citation Graph (0, 0)][DBLP]
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2005, v:13, n:2, pp:117-138 [Journal]
  131. Sung-Kwun Oh, Dong-Won Kim, Witold Pedrycz
    Hybrid Fuzzy Polynomial Neural Networks. [Citation Graph (0, 0)][DBLP]
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2002, v:10, n:3, pp:257-280 [Journal]
  132. Marek Reformat, Witold Pedrycz, Nicolino J. Pizzi
    Software quality analysis with the use of computational intelligence. [Citation Graph (0, 0)][DBLP]
    Information & Software Technology, 2003, v:45, n:7, pp:405-417 [Journal]
  133. Siegfried Gottwald, Witold Pedrycz
    Revealing Logical Dependencies in Fuzzy Data with the Aid of Multilevel Fuzzy Relational Equations. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1994, v:78, n:3-4, pp:311-324 [Journal]
  134. Antonio Gisolfi, Witold Pedrycz, Salvatore Sessa
    Guest Editorial. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1998, v:106, n:1-2, pp:1-2 [Journal]
  135. Kaoru Hirota, Witold Pedrycz
    Fuzzy system identification via probabilistic sets. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1982, v:28, n:1, pp:21-43 [Journal]
  136. Kaoru Hirota, Witold Pedrycz
    Logic-based neural networks. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1993, v:71, n:1-2, pp:99-130 [Journal]
  137. Kaoru Hirota, Witold Pedrycz
    Implicitly-Supervised Learning and Its Application to Fuzzy Pattern Classifiers. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1998, v:106, n:1-2, pp:71-85 [Journal]
  138. Sung-Kwun Oh, Witold Pedrycz
    The design of self-organizing Polynomial Neural Networks. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2002, v:141, n:3-4, pp:237-258 [Journal]
  139. Antonio di Nola, Witold Pedrycz, Salvatore Sessa
    Some theoretical aspects of fuzzy-relation equations describing fuzzy systems. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1984, v:34, n:3, pp:241-264 [Journal]
  140. Antonio di Nola, Salvatore Sessa, Witold Pedrycz
    On some finite fuzzy relation equations. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1990, v:50, n:1, pp:93-109 [Journal]
  141. Witold Pedrycz
    Relevancy of fuzzy models. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1990, v:52, n:3, pp:285-302 [Journal]
  142. Witold Pedrycz
    Interfaces of Fuzzy Models: A Study in Fuzzy Information Processing. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1996, v:90, n:1-4, pp:231-280 [Journal]
  143. Witold Pedrycz, Andrzej Bargiela
    Fuzzy fractal dimensions and fuzzy modeling. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2003, v:153, n:, pp:199-216 [Journal]
  144. Witold Pedrycz, Adam Gacek
    Temporal granulation and its application to signal analysis. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2002, v:143, n:1-4, pp:47-71 [Journal]
  145. Witold Pedrycz, Eugene Roventa
    A Hierarchical Neural Model of Matching. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1994, v:78, n:3-4, pp:215-227 [Journal]
  146. 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. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2006, v:176, n:5, pp:475-489 [Journal]
  147. Hajime Nobuhara, Witold Pedrycz, Salvatore Sessa, Kaoru Hirota
    A motion compression/reconstruction method based on max t-norm composite fuzzy relational equations. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2006, v:176, n:17, pp:2526-2552 [Journal]
  148. Sung-Kwun Oh, Witold Pedrycz, Seok-Beom Roh
    Genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2006, v:176, n:23, pp:3490-3519 [Journal]
  149. Andrea Janes, Marco Scotto, Witold Pedrycz, Barbara Russo, Milorad Stefanovic, Giancarlo Succi
    Identification of defect-prone classes in telecommunication software systems using design metrics. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2006, v:176, n:24, pp:3711-3734 [Journal]
  150. Scott Dick, Adam Schenker, Witold Pedrycz, Abraham Kandel
    Regranulation: A granular algorithm enabling communication between granular worlds. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2007, v:177, n:2, pp:408-435 [Journal]
  151. Mark D. Alexiuk, Nicolino J. Pizzi, Pak Ching Li, Witold Pedrycz
    Neural Network Based Power Flow Predictor. [Citation Graph (0, 0)][DBLP]
    JACIII, 2000, v:4, n:3, pp:206-211 [Journal]
  152. Takeshi Furuhashi, Hidehiro Yamamoto, James F. Peters, Witold Pedrycz
    Fuzzy Control Stability Analysis Using a Generalized Fuzzy Petri Net Model. [Citation Graph (0, 0)][DBLP]
    JACIII, 1999, v:3, n:2, pp:99-105 [Journal]
  153. Walmir M. Caminhas, Hermano Tavares, Fernando A. C. Gomide, Witold Pedrycz
    Fuzzy Set Based Neural Networks: Structure, Learning and Application. [Citation Graph (0, 0)][DBLP]
    JACIII, 1999, v:3, n:3, pp:151-157 [Journal]
  154. Myung-Geun Chun, Keun Chang Kwak, Jeong-Woong Ryu, Witold Pedrycz
    A Fuzzy Rule Extraction Method for ANFIS Using CFCM and Fuzzy Equalization. [Citation Graph (0, 0)][DBLP]
    JACIII, 2000, v:4, n:5, pp:355-361 [Journal]
  155. Norikazu Ikoma, Witold Pedrycz, Takahiro Hyakudome, Hiroshi Maeda
    Adaptive Touch Panel User Interface by Type-Based Approach Using Particle Filters. [Citation Graph (0, 0)][DBLP]
    JACIII, 2005, v:9, n:6, pp:643-653 [Journal]
  156. Keun Chang Kwak, Witold Pedrycz, Hyoun-Joo Go, Myung-Geun Chun
    Fuzzy Aggregation Method Using Fisherface and Wavelet Decomposition for Face Recognition. [Citation Graph (0, 0)][DBLP]
    JACIII, 2004, v:8, n:4, pp:379-384 [Journal]
  157. Max Q.-H. Meng, Witold Pedrycz
    Sampling Research on Advanced Computational Intelligence in Canada. [Citation Graph (0, 0)][DBLP]
    JACIII, 2000, v:4, n:3, pp:187-0 [Journal]
  158. Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park
    Genetically Optimized Multi-Layer Fuzzy Polynomial Neural Networks: Analysis and Design. [Citation Graph (0, 0)][DBLP]
    JACIII, 2006, v:10, n:1, pp:35-49 [Journal]
  159. Witold Pedrycz, George Vukovich
    Representation and Propagation of Information Granules in Rule-based Computing. [Citation Graph (0, 0)][DBLP]
    JACIII, 2000, v:4, n:1, pp:102-110 [Journal]
  160. Vincenzo Loia, Witold Pedrycz, Sabrina Senatore, Maria I. Sessa
    Web navigation support by means of proximity-driven assistant agents. [Citation Graph (0, 0)][DBLP]
    JASIST, 2006, v:57, n:4, pp:515-527 [Journal]
  161. Sung-Kwun Oh, Witold Pedrycz, Keon-Jun Park
    Identification of fuzzy systems by means of genetic optimization and data granulation. [Citation Graph (0, 0)][DBLP]
    Journal of Intelligent and Fuzzy Systems, 2007, v:18, n:1, pp:31-41 [Journal]
  162. Euntai Kim, Witold Pedrycz
    Information granulation as a basis of fuzzy modeling. [Citation Graph (0, 0)][DBLP]
    Journal of Intelligent and Fuzzy Systems, 2007, v:18, n:2, pp:123-148 [Journal]
  163. Witold Pedrycz
    Quantitative logic-based framework for agile methodologies. [Citation Graph (0, 0)][DBLP]
    Journal of Systems Architecture, 2006, v:52, n:11, pp:700-707 [Journal]
  164. Witold Pedrycz, Giancarlo Succi
    Genetic granular classifiers in modeling software quality. [Citation Graph (0, 0)][DBLP]
    Journal of Systems and Software, 2005, v:76, n:3, pp:277-285 [Journal]
  165. Witold Pedrycz, Giancarlo Succi, Petr Musílek, Xiao Bai
    Using self-organizing maps to analyze object-oriented software measures. [Citation Graph (0, 0)][DBLP]
    Journal of Systems and Software, 2001, v:59, n:1, pp:65-82 [Journal]
  166. Giancarlo Succi, Witold Pedrycz, Milorad Stefanovic, James Miller
    Practical assessment of the models for identification of defect-prone classes in object-oriented commercial systems using design metrics. [Citation Graph (0, 0)][DBLP]
    Journal of Systems and Software, 2003, v:65, n:1, pp:1-12 [Journal]
  167. Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park
    Rule-based multi-FNN identification with the aid of evolutionary fuzzy granulation. [Citation Graph (0, 0)][DBLP]
    Knowl.-Based Syst., 2004, v:17, n:1, pp:1-13 [Journal]
  168. Gabriel Alvarado, Witold Pedrycz, Marek Reformat, Keun Chang Kwak
    Deterioration of visual information in face classification using Eigenfaces and Fisherfaces. [Citation Graph (0, 0)][DBLP]
    Mach. Vis. Appl., 2006, v:17, n:1, pp:68-82 [Journal]
  169. A. Kraslawski, Witold Pedrycz, L. Nyström
    Fuzzy Neural Network as Instance Generator for Case-Based Reasoning System: An Example of Selection of Heat Exchange Equipment in Mixing Tanks. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 1999, v:8, n:2, pp:106-113 [Journal]
  170. Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh
    Fuzzy polynomial neurons as neurofuzzy processing units. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2006, v:15, n:3-4, pp:310-327 [Journal]
  171. Witold Pedrycz
    Neurocomputations in Relational Systems. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1991, v:13, n:3, pp:289-297 [Journal]
  172. Kaoru Hirota, Witold Pedrycz
    Prototype construction and evaluation as inverse problems in pattern classification. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1992, v:25, n:6, pp:601-608 [Journal]
  173. Keun Chang Kwak, Witold Pedrycz
    Face recognition using a fuzzy fisherface classifier. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2005, v:38, n:10, pp:1717-1732 [Journal]
  174. Antonio di Nola, Witold Pedrycz, Salvatore Sessa, Elie Sanchez
    Designing of classification procedures with the use of equality and difference operators. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1990, v:23, n:8, pp:911-917 [Journal]
  175. Witold Pedrycz
    Fuzzy sets in pattern recognition: Methodology and methods. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1990, v:23, n:1-2, pp:121-146 [Journal]
  176. Witold Pedrycz
    Author's reply. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1992, v:25, n:9, pp:1071-1072 [Journal]
  177. Witold Pedrycz, George Vukovich
    Feature analysis through information granulation and fuzzy sets. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2002, v:35, n:4, pp:825-834 [Journal]
  178. Witold Pedrycz, George Vukovich
    Fuzzy clustering with supervision. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2004, v:37, n:7, pp:1339-1349 [Journal]
  179. Sushmita Mitra, Witold Pedrycz
    Special Issue on Bioinformatics. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:12, pp:2265-2266 [Journal]
  180. 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. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:1, pp:19-32 [Journal]
  181. Kaoru Hirota, Witold Pedrycz
    D-fuzzy clustering. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1995, v:16, n:2, pp:193-200 [Journal]
  182. Moongu Jeon, M. Alexander, Witold Pedrycz, Nicolino J. Pizzi
    Unsupervised hierarchical image segmentation with level set and additive operator splitting. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2005, v:26, n:10, pp:1461-1469 [Journal]
  183. Keun Chang Kwak, Witold Pedrycz
    Face recognition: A study in information fusion using fuzzy integral. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2005, v:26, n:6, pp:719-733 [Journal]
  184. Yukiko Nakagawa, Kaoru Hirota, Witold Pedrycz
    A fuzzy knowledge base for dynamic image understandin. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1996, v:17, n:6, pp:601-605 [Journal]
  185. Witold Pedrycz
    Collaborative fuzzy clustering. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2002, v:23, n:14, pp:1675-1686 [Journal]
  186. Witold Pedrycz
    Fuzzy clustering with a knowledge-based guidance. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2004, v:25, n:4, pp:469-480 [Journal]
  187. Witold Pedrycz
    Interpretation of clusters in the framework of shadowed sets. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2005, v:26, n:15, pp:2439-2449 [Journal]
  188. Witold Pedrycz
    Formation of prototypes and their confidence regions in classification and concept formation problems. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1991, v:12, n:12, pp:739-746 [Journal]
  189. Witold Pedrycz
    Classification of relational patterns as a decomposition problem. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1996, v:17, n:1, pp:91-99 [Journal]
  190. Witold Pedrycz
    Conditional Fuzzy C-Means. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1996, v:17, n:6, pp:625-631 [Journal]
  191. Witold Pedrycz
    Generalized fuzzy Petri nets as pattern classifiers. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1999, v:20, n:14, pp:1489-1498 [Journal]
  192. Witold Pedrycz, George Vukovich
    Logic-oriented fuzzy clustering. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2002, v:23, n:13, pp:1515-1527 [Journal]
  193. James F. Peters, Zbigniew Suraj, S. Shan, Sheela Ramanna, Witold Pedrycz, Nicolino J. Pizzi
    Classification of meteorological volumetric radar data using rough set methods. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2003, v:24, n:6, pp:911-920 [Journal]
  194. Sung-Kwun Oh, Witold Pedrycz
    Genetic optimization-driven multi-layer hybrid fuzzy neural networks. [Citation Graph (0, 0)][DBLP]
    Simulation Modelling Practice and Theory, 2006, v:14, n:5, pp:597-613 [Journal]
  195. Roelof K. Brouwer, Witold Pedrycz
    Set oriented mappings on neural networks. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2003, v:8, n:1, pp:28-37 [Journal]
  196. Andrzej Bargiela, Witold Pedrycz
    A model of granular data: a design problem with the Tchebyschev FCM. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2005, v:9, n:3, pp:155-163 [Journal]
  197. Witold Pedrycz
    Computational intelligence and visual computing: an emerging technology for software engineering. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2002, v:7, n:1, pp:33-44 [Journal]
  198. Witold Pedrycz
    Fuzzy evolutionary computing. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 1998, v:2, n:2, pp:61-72 [Journal]
  199. Witold Pedrycz, Giancarlo Succi
    fXOR fuzzy logic networks. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2002, v:7, n:2, pp:115-120 [Journal]
  200. Witold Pedrycz, Athanasios V. Vasilakos
    Modularization of fuzzy relational equations. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2002, v:6, n:1, pp:33-37 [Journal]
  201. Witold Pedrycz, George Vukovich
    An fMUX architecture: data modularization and mixed-mode system modeling. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2002, v:6, n:3-4, pp:271-276 [Journal]
  202. Witold Pedrycz, George Vukovich
    Noninvasive data analysis: a web of information granules. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2004, v:8, n:10, pp:657-662 [Journal]
  203. Witold Pedrycz, Athanasios V. Vasilakos, M. Feroldi
    Special issue on soft computing applications to CDMA power control optimization. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2005, v:9, n:2, pp:67- [Journal]
  204. Hajime Nobuhara, Kaoru Hirota, Witold Pedrycz, Salvatore Sessa
    Two iterative methods of decomposition of a fuzzy relation for image compression/decompression processing. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2004, v:8, n:10, pp:698-704 [Journal]
  205. Hajime Nobuhara, Witold Pedrycz, Kaoru Hirota
    Relational image compression: optimizations through the design of fuzzy coders and YUV color space. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2005, v:9, n:6, pp:471-479 [Journal]
  206. Yongming Li, Witold Pedrycz
    The equivalence between fuzzy Mealy and fuzzy Moore machines. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2006, v:10, n:10, pp:953-959 [Journal]
  207. Marco Painho, Athanasios V. Vasilakos, Fernando Bação, Witold Pedrycz
    Exploring spatial data through computational intelligence: a joint perspective. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2005, v:9, n:5, pp:326-331 [Journal]
  208. Shounak Roychowdhury, Witold Pedrycz
    An alternative characterization of fuzzy complement functional. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2003, v:7, n:8, pp:563-565 [Journal]
  209. Athanasios V. Vasilakos, Kostas G. Anagnostakis, Witold Pedrycz
    Application of computational intelligence techniques in active networks. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2001, v:5, n:4, pp:264-271 [Journal]
  210. Eduardo Masato Iyoda, Takushi Shibata, Hajime Nobuhara, Witold Pedrycz, Kaoru Hirota
    Image Compression and Reconstruction Using pit-Sigma Neural Networks. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2007, v:11, n:1, pp:53-61 [Journal]
  211. Witold Pedrycz, Kaoru Hirota
    Uninorm-Based Logic Neurons as Adaptive and Interpretable Processing Constructs. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2007, v:11, n:1, pp:41-52 [Journal]
  212. Witold Pedrycz, James Waletzky
    Fuzzy Clustering in Software Reusability. [Citation Graph (0, 0)][DBLP]
    Softw., Pract. Exper., 1997, v:27, n:3, pp:245-270 [Journal]
  213. Witold Pedrycz, Giancarlo Succi, Ofer Shai
    Genetic-fuzzy approach to the Boolean satisfiability problem. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2002, v:6, n:5, pp:519-525 [Journal]
  214. Andrzej Bargiela, Witold Pedrycz, Kaoru Hirota
    Granular prototyping in fuzzy clustering. [Citation Graph (0, 0)][DBLP]
    IEEE T. Fuzzy Systems, 2004, v:12, n:5, pp:697-709 [Journal]
  215. Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park
    Genetically optimized fuzzy polynomial neural networks. [Citation Graph (0, 0)][DBLP]
    IEEE T. Fuzzy Systems, 2006, v:14, n:1, pp:125-144 [Journal]
  216. Andrzej Bargiela, Witold Pedrycz
    Recursive information granulation: aggregation and interpretation issues. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2003, v:33, n:1, pp:96-112 [Journal]
  217. Andrzej Bargiela, Witold Pedrycz
    Granular mappings. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2005, v:35, n:2, pp:292-297 [Journal]
  218. Andrzej Bargiela, Witold Pedrycz, Masahiro Tanaka
    A study of uncertain state estimation. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2003, v:33, n:3, pp:288-301 [Journal]
  219. Kaoru Hirota, Witold Pedrycz
    Fuzzy relational compression. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 1999, v:29, n:3, pp:407-415 [Journal]
  220. Keun Chang Kwak, Witold Pedrycz
    Face recognition using fuzzy Integral and wavelet decomposition method. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2004, v:34, n:4, pp:1666-1675 [Journal]
  221. Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park
    Self-organizing neurofuzzy networks based on evolutionary fuzzy granulation. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2003, v:33, n:2, pp:271-277 [Journal]
  222. Witold Pedrycz
    Relational and directional aspects in the construction of information granules. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2002, v:32, n:5, pp:605-614 [Journal]
  223. Witold Pedrycz
    Shadowed sets: representing and processing fuzzy sets. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 1998, v:28, n:1, pp:103-109 [Journal]
  224. Witold Pedrycz, Andrzej Bargiela
    Granular clustering: a granular signature of data. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2002, v:32, n:2, pp:212-224 [Journal]
  225. Witold Pedrycz, Kaoru Hirota, Salvatore Sessa
    A decomposition of fuzzy relations. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2001, v:31, n:4, pp:657-663 [Journal]
  226. Witold Pedrycz, Zenon A. Sosnowski
    Designing decision trees with the use of fuzzy granulation. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2000, v:30, n:2, pp:151-159 [Journal]
  227. Witold Pedrycz, Zenon A. Sosnowski
    Genetically optimized fuzzy decision trees. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2005, v:35, n:3, pp:633-641 [Journal]
  228. Witold Pedrycz, Zenon A. Sosnowski
    C-fuzzy decision trees. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part C, 2005, v:35, n:4, pp:498-511 [Journal]
  229. Witold Pedrycz, George Vukovich
    Investigating a relevance of fuzzy mappings. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2000, v:30, n:2, pp:249-262 [Journal]
  230. Witold Pedrycz, George Vukovich
    Abstraction and specialization of information granules. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2001, v:31, n:1, pp:106-111 [Journal]
  231. Witold Pedrycz, George Vukovich
    On elicitation of membership functions. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2002, v:32, n:6, pp:761-767 [Journal]
  232. Witold Pedrycz, Athanasios V. Vasilakos
    Linguistic models and linguistic modeling. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 1999, v:29, n:6, pp:745-757 [Journal]
  233. Witold Pedrycz, Athanasios V. Vasilakos, Stamatis Karnouskos
    Special issue on computational intelligence in telecommunications networks and Internet services. I. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part C, 2003, v:33, n:3, pp:294-296 [Journal]
  234. Witold Pedrycz, Athanasios V. Vasilakos, Stamatis Karnouskos
    Guest Editorial - Special issue on computational intelligence in telecommunications networks and internet services - Part II. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part C, 2003, v:33, n:4, pp:429-431 [Journal]
  235. Witold Pedrycz, Athanasios V. Vasilakos, Stamatis Karnouskos
    Guest Editorial Special Issue on Computational Intelligence in Telecommunications Networks and Internet Services - Part III. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part C, 2004, v:34, n:1, pp:1-3 [Journal]
  236. Witold Pedrycz, James Waletzky
    Fuzzy clustering with partial supervision. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 1997, v:27, n:5, pp:787-795 [Journal]
  237. Athanasios V. Vasilakos, Marios P. Saltouros, A. F. Atlassis, Witold Pedrycz
    Optimizing QoS routing in hierarchical ATM networks using computational intelligence techniques. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part C, 2003, v:33, n:3, pp:297-312 [Journal]
  238. Witold Pedrycz, Keun Chang Kwak
    Linguistic models as a framework of user-centric system modeling. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2006, v:36, n:4, pp:727-745 [Journal]
  239. 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. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (4), 2007, pp:1108-1115 [Conf]
  240. 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. [Citation Graph (0, 0)][DBLP]
    ICCSA (3), 2007, pp:1076-1085 [Conf]
  241. 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. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2007, pp:206-215 [Conf]
  242. Raimund Moser, Witold Pedrycz, Giancarlo Succi
    Incremental Effort Prediction Models in Agile Development using Radial Basis Functions. [Citation Graph (0, 0)][DBLP]
    SEKE, 2007, pp:519-522 [Conf]
  243. Angelo Ciaramella, Witold Pedrycz, Roberto Tagliaferri
    The Genetic Development of Uninorm-Based Neurons. [Citation Graph (0, 0)][DBLP]
    WILF, 2007, pp:69-76 [Conf]
  244. Nick J. Pizzi, Mark D. Alexiuk, Witold Pedrycz
    Classification of Biomedical Spectra Using Fuzzy Interquartile Encoding and Stochastic Feature Selection. [Citation Graph (0, 0)][DBLP]
    CIDM, 2007, pp:668-673 [Conf]
  245. Mark D. Alexiuk, G. Sawatzky, Nicolino J. Pizzi, Witold Pedrycz
    Captology in Narrowcast Advertising: A Swarm Simulation of Persuasion Models. [Citation Graph (0, 0)][DBLP]
    CCECE, 2006, pp:1723-1726 [Conf]
  246. Yongming Li, Witold Pedrycz
    Minimization of lattice finite automata and its application to the decomposition of lattice languages. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2007, v:158, n:13, pp:1423-1436 [Journal]
  247. Andrzej Bargiela, Witold Pedrycz, Tomoharu Nakashima
    Multiple regression with fuzzy data. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2007, v:158, n:19, pp:2169-2188 [Journal]
  248. Adam F. Gobi, Witold Pedrycz
    Fuzzy modelling through logic optimization. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2007, v:45, n:3, pp:488-510 [Journal]
  249. Witold Pedrycz
    Genetic tolerance fuzzy neural networks: From data to fuzzy hyperboxes. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:7-9, pp:1403-1413 [Journal]
  250. 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. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:16-18, pp:2783-2798 [Journal]
  251. Madhura Purnaprajna, Marek Reformat, Witold Pedrycz
    Genetic algorithms for hardware-software partitioning and optimal resource allocation. [Citation Graph (0, 0)][DBLP]
    Journal of Systems Architecture, 2007, v:53, n:7, pp:339-354 [Journal]
  252. Witold Pedrycz, Keun Chang Kwak
    The Development of Incremental Models. [Citation Graph (0, 0)][DBLP]
    IEEE T. Fuzzy Systems, 2007, v:15, n:3, pp:507-518 [Journal]
  253. C. Sul, Robert D. McLeod, Witold Pedrycz
    Reliable and fast reconfigurable hierarchical interconnection networks for linear WSI arrays. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. VLSI Syst., 1993, v:1, n:2, pp:224-228 [Journal]
  254. Witold Pedrycz, Kaoru Hirota
    Fuzzy vector quantization with the particle swarm optimization: A study in fuzzy granulation-degranulation information processing. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2007, v:87, n:9, pp:2061-2074 [Journal]

  255. Adaptive Weight Change Mechanism for Kohonens's Neural Network Implemented in CMOS 0.18 um Technology. [Citation Graph (, )][DBLP]


  256. Sparse optimization using a mixed GA-PSO optimization framework. [Citation Graph (, )][DBLP]


  257. A comparative analysis of the efficiency of change metrics and static code attributes for defect prediction. [Citation Graph (, )][DBLP]


  258. Real-time fuzzy switching regression analysis: a convex hull approach. [Citation Graph (, )][DBLP]


  259. Parallel Learning of Large Fuzzy Cognitive Maps. [Citation Graph (, )][DBLP]


  260. Towards a New Generation of Indicators for Consensus Reaching Support Using Type-2 Fuzzy Sets. [Citation Graph (, )][DBLP]


  261. A Model to Identify Refactoring Effort during Maintenance by Mining Source Code Repositories. [Citation Graph (, )][DBLP]


  262. Shadowed Clustering for Speech Data and Medical Image Segmentation. [Citation Graph (, )][DBLP]


  263. Phase Transition in SONFIS and SORST. [Citation Graph (, )][DBLP]


  264. Granular Computing in Multi-agent Systems. [Citation Graph (, )][DBLP]


  265. Kernelized Fuzzy Rough Sets. [Citation Graph (, )][DBLP]


  266. Fuzziness in the Semantic Web: Survey and Future Directions. [Citation Graph (, )][DBLP]


  267. Numeric Data to Information Granules and Computing with Words. [Citation Graph (, )][DBLP]


  268. Fuzzy Random Facility Location Problems with Recourse. [Citation Graph (, )][DBLP]


  269. Uninorm Based Fuzzy Network for Tree Data Structures. [Citation Graph (, )][DBLP]


  270. Type-2 Fuzzy Logic: Theory and Applications. [Citation Graph (, )][DBLP]


  271. The Key Theorem of Learning Theory Based on Sugeno Measure and Fuzzy Random Samples. [Citation Graph (, )][DBLP]


  272. Genetically Tuned Fuzzy Back-propagation Learning Method Based On Derivation Of Min-max Function For Fuzzy Neural Networks. [Citation Graph (, )][DBLP]


  273. Analysis of the reliability of a subset of change metrics for defect prediction. [Citation Graph (, )][DBLP]


  274. Effort Prediction in Iterative Software Development Processes -- Incremental Versus Global Prediction Models. [Citation Graph (, )][DBLP]


  275. Collaborative Architectures of Fuzzy Modeling. [Citation Graph (, )][DBLP]


  276. A Case Study on the Impact of Refactoring on Quality and Productivity in an Agile Team. [Citation Graph (, )][DBLP]


  277. Proximity fuzzy clustering for web context analysis. [Citation Graph (, )][DBLP]


  278. Towards fusing sophisticated mathematical knowledge and informal expert knowledge: an arbitrary metric can be naturally interpreted in fuzzy terms. [Citation Graph (, )][DBLP]


  279. Discriminatory Components for Pattern Classification. [Citation Graph (, )][DBLP]


  280. Sorted Kernel Matrices as Cluster Validity Indexes. [Citation Graph (, )][DBLP]


  281. Multivariate Segmentation of Time Series with Differential Evolution. [Citation Graph (, )][DBLP]


  282. Granular Computing: An Overview. [Citation Graph (, )][DBLP]


  283. Analog-Counter-Based Conscience Mechanism in Kohonen's Neural Network Implemented in CMOS 0.18 m Technology. [Citation Graph (, )][DBLP]


  284. Computational Intelligence - The Quests and Opportunities. [Citation Graph (, )][DBLP]


  285. Positive approximation: An accelerator for attribute reduction in rough set theory. [Citation Graph (, )][DBLP]


  286. Polynomial-based radial basis function neural networks (P-RBF NNs) and their application to pattern classification. [Citation Graph (, )][DBLP]


  287. The design of fuzzy information granules: Tradeoffs between specificity and experimental evidence. [Citation Graph (, )][DBLP]


  288. Special issue on soft computing for dynamic data mining. [Citation Graph (, )][DBLP]


  289. Hybrid fuzzy set-based polynomial neural networks and their development with the aid of genetic optimization and information granulation. [Citation Graph (, )][DBLP]


  290. Modified fuzzy c-means and Bayesian equalizer for nonlinear blind channel. [Citation Graph (, )][DBLP]


  291. Risk evaluation through decision-support architectures in threat assessment and countering terrorism. [Citation Graph (, )][DBLP]


  292. Graphical Estimation of Permeability Using RST&NFIS [Citation Graph (, )][DBLP]


  293. Modeling of Social Transitions Using Intelligent Systems [Citation Graph (, )][DBLP]


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