2009 | ||
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337 | EE | Fusheng Yu, Witold Pedrycz: The design of fuzzy information granules: Tradeoffs between specificity and experimental evidence. Appl. Soft Comput. 9(1): 264-273 (2009) |
336 | EE | 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) |
335 | EE | 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) |
334 | EE | Witold Pedrycz, Partab Rai: Experience-consistent modeling: Regression and classification problems. Automatica 45(2): 449-455 (2009) |
333 | EE | 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) |
332 | EE | Witold Pedrycz: Hierarchies of Architectures of Collaborative Computational Intelligence. IJSSCI 1(1): 18-31 (2009) |
331 | EE | Witold Pedrycz: From fuzzy sets to shadowed sets: Interpretation and computing. Int. J. Intell. Syst. 24(1): 48-61 (2009) |
330 | EE | 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) |
329 | EE | Daniel Graves, Witold Pedrycz: Fuzzy prediction architecture using recurrent neural networks. Neurocomputing 72(7-9): 1668-1678 (2009) |
2008 | ||
328 | Oscar Castillo, Patricia Melin, Janusz Kacprzyk, Witold Pedrycz: Soft Computing for Hybrid Intelligent Systems Springer 2008 | |
327 | Emilio Corchado, Ajith Abraham, Witold Pedrycz: Hybrid Artificial Intelligence Systems, Third International Workshop, HAIS 2008, Burgos, Spain, September 24-26, 2008. Proceedings Springer 2008 | |
326 | Ajith Abraham, Crina Grosan, Witold Pedrycz: Engineering Evolutionary Intelligent Systems Springer 2008 | |
325 | EE | Raimund Moser, Witold Pedrycz, Giancarlo Succi: Analysis of the reliability of a subset of change metrics for defect prediction. ESEM 2008: 309-311 |
324 | EE | 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 |
323 | EE | 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 |
322 | EE | Hamed O. Ghaffari, Mostafa Sharifzadeh, Witold Pedrycz: Phase Transition in SONFIS and SORST. RSCTC 2008: 339-348 |
321 | EE | Bishal Barman, Sushmita Mitra, Witold Pedrycz: Shadowed Clustering for Speech Data and Medical Image Segmentation. RSCTC 2008: 475-484 |
320 | EE | Witold Pedrycz: Granular Computing in Multi-agent Systems. RSKT 2008: 3-17 |
319 | Seyed Koosha Golmohammadi, Marek Reformat, Witold Pedrycz: Fuzziness in the Semantic Web: Survey and Future Directions. SEKE 2008: 643-648 | |
318 | EE | Witold Pedrycz: Collaborative Architectures of Fuzzy Modeling. WCCI 2008: 117-139 |
317 | EE | Witold Pedrycz: A Quest for Adaptable and Interpretable Architectures of Computational Intelligence. Computational Intelligence Paradigms 2008: 25-49 |
316 | EE | Witold Pedrycz: Semantics and Perception of Fuzzy Sets and Fuzzy Mappings. Computational Intelligence: A Compendium 2008: 597-639 |
315 | EE | 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 |
314 | EE | 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 |
313 | EE | Toshihiro Kaino, Kaoru Hirota, Witold Pedrycz: Fuzzy Sensitivity Analysis and Its Application. Fuzzy Engineering Economics with Applications 2008: 183-216 |
312 | EE | 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 |
311 | EE | James F. Peters, Witold Pedrycz: Computational Intelligence. Wiley Encyclopedia of Computer Science and Engineering 2008 |
310 | EE | Witold Pedrycz: Neural Network Architectures. Wiley Encyclopedia of Computer Science and Engineering 2008 |
309 | EE | Witold Pedrycz, Richard Weber: Special issue on soft computing for dynamic data mining. Appl. Soft Comput. 8(4): 1281-1282 (2008) |
308 | EE | Hamed Owladeghaffari, K. Shahriar, Witold Pedrycz: Graphical Estimation of Permeability Using RST&NFIS CoRR abs/0804.0353: (2008) |
307 | EE | Hamed Owladeghaffari, Witold Pedrycz, Mostafa Sharifzadeh: Modeling of Social Transitions Using Intelligent Systems CoRR abs/0810.2046: (2008) |
306 | EE | 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) |
305 | EE | 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) |
304 | EE | Nick J. Pizzi, Witold Pedrycz: Effective classification using feature selection and fuzzy integration. Fuzzy Sets and Systems 159(21): 2859-2872 (2008) |
303 | EE | 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) |
302 | EE | 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) |
301 | EE | Andrzej Bargiela, Witold Pedrycz: Toward a Theory of Granular Computing for Human-Centered Information Processing. IEEE T. Fuzzy Systems 16(2): 320-330 (2008) |
300 | EE | Adam F. Gobi, Witold Pedrycz: Logic Minimization as an Efficient Means of Fuzzy Structure Discovery. IEEE T. Fuzzy Systems 16(3): 553-566 (2008) |
299 | EE | 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) |
298 | EE | 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) |
297 | EE | 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) |
296 | EE | 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) |
295 | EE | 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) |
294 | EE | Witold Pedrycz, Partab Rai, Jozef Zurada: Experience-Consistent Modeling for Radial Basis Function Neural Networks. Int. J. Neural Syst. 18(4): 279-292 (2008) |
293 | EE | 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) |
292 | EE | 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) |
291 | EE | 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) |
290 | EE | 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) |
289 | EE | Witold Pedrycz: A dynamic data granulation through adjustable fuzzy clustering. Pattern Recognition Letters 29(16): 2059-2066 (2008) |
288 | EE | Witold Pedrycz, Kaoru Hirota: A consensus-driven fuzzy clustering. Pattern Recognition Letters 29(9): 1333-1343 (2008) |
287 | EE | Ikno Kim, Junzo Watada, Witold Pedrycz: A DNA-based algorithm for arranging weighted cliques. Simulation Modelling Practice and Theory 16(10): 1561-1570 (2008) |
286 | EE | Gerardo Canfora, Witold Pedrycz: Special issue on Software Engineering and Soft Computing. Soft Comput. 12(1): 1-2 (2008) |
2007 | ||
285 | Patricia Melin, Oscar Castillo, Eduardo Gómez-Ramírez, Janusz Kacprzyk, Witold Pedrycz: Analysis and Design of Intelligent Systems using Soft Computing Techniques, a selection of papers from IFSA 2007 Springer 2007 | |
284 | Oscar Castillo, Patricia Melin, Oscar Montiel, Roberto Sepúlveda, Witold Pedrycz, Janusz Kacprzyk: Theoretical Advances and Applications of Fuzzy Logic and Soft Computing, Selection of Papers from IFSA 2007 Springer 2007 | |
283 | Aijun An, Jerzy Stefanowski, Sheela Ramanna, Cory J. Butz, Witold Pedrycz, Guoyin Wang: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007, Proceedings Springer 2007 | |
282 | Patricia Melin, Oscar Castillo, Luis T. Aguilar, Janusz Kacprzyk, Witold Pedrycz: Foundations of Fuzzy Logic and Soft Computing, 12th International Fuzzy Systems Association World Congress, IFSA 2007, Cancun, Mexico, June 18-21, 2007, Proceedings Springer 2007 | |
281 | EE | 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 |
280 | EE | Nick J. Pizzi, Mark D. Alexiuk, Witold Pedrycz: Classification of Biomedical Spectra Using Fuzzy Interquartile Encoding and Stochastic Feature Selection. CIDM 2007: 668-673 |
279 | EE | 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 |
278 | EE | 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 |
277 | 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 | |
276 | EE | Oscar Castillo, Patricia Melin, Janusz Kacprzyk, Witold Pedrycz: Type-2 Fuzzy Logic: Theory and Applications. GrC 2007: 145-150 |
275 | EE | 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 |
274 | EE | Witold Pedrycz: Distributed and Collaborative Soft Computing: An Emerging Development Environment. ICCTA 2007: 231-241 |
273 | EE | Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz: Parallel Learning of Large Fuzzy Cognitive Maps. IJCNN 2007: 1584-1589 |
272 | EE | 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 |
271 | EE | 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 |
270 | Raimund Moser, Witold Pedrycz, Giancarlo Succi: Incremental Effort Prediction Models in Agile Development using Radial Basis Functions. SEKE 2007: 519-522 | |
269 | EE | Angelo Ciaramella, Witold Pedrycz, Roberto Tagliaferri: The Genetic Development of Uninorm-Based Neurons. WILF 2007: 69-76 |
268 | EE | 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 |
267 | EE | 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 |
266 | EE | 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 |
265 | EE | Witold Pedrycz: Knowledge-Based Clustering in Computational Intelligence. Challenges for Computational Intelligence 2007: 317-341 |
264 | EE | 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) |
263 | EE | 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) |
262 | EE | 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) |
261 | EE | Andrzej Bargiela, Witold Pedrycz, Tomoharu Nakashima: Multiple regression with fuzzy data. Fuzzy Sets and Systems 158(19): 2169-2188 (2007) |
260 | EE | Witold Pedrycz, Keun Chang Kwak: The Development of Incremental Models. IEEE T. Fuzzy Systems 15(3): 507-518 (2007) |
259 | EE | 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) |
258 | EE | Keun Chang Kwak, Witold Pedrycz: Face Recognition Using an Enhanced Independent Component Analysis Approach. IEEE Transactions on Neural Networks 18(2): 530-541 (2007) |
257 | EE | 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) |
256 | EE | Scott Dick, Adam Schenker, Witold Pedrycz, Abraham Kandel: Regranulation: A granular algorithm enabling communication between granular worlds. Inf. Sci. 177(2): 408-435 (2007) |
255 | EE | Adam F. Gobi, Witold Pedrycz: Fuzzy modelling through logic optimization. Int. J. Approx. Reasoning 45(3): 488-510 (2007) |
254 | EE | 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) |
253 | EE | 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) |
252 | EE | Euntai Kim, Witold Pedrycz: Information granulation as a basis of fuzzy modeling. Journal of Intelligent and Fuzzy Systems 18(2): 123-148 (2007) |
251 | EE | 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) |
250 | EE | 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) |
249 | EE | Witold Pedrycz: Genetic tolerance fuzzy neural networks: From data to fuzzy hyperboxes. Neurocomputing 70(7-9): 1403-1413 (2007) |
248 | EE | 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) |
247 | EE | 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) |
246 | EE | 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) |
245 | EE | 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) |
244 | EE | Witold Pedrycz, Kaoru Hirota: Uninorm-Based Logic Neurons as Adaptive and Interpretable Processing Constructs. Soft Comput. 11(1): 41-52 (2007) |
243 | EE | 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) |
2006 | ||
242 | EE | 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 |
241 | EE | Mark D. Alexiuk, G. Sawatzky, Nicolino J. Pizzi, Witold Pedrycz: Captology in Narrowcast Advertising: A Swarm Simulation of Persuasion Models. CCECE 2006: 1723-1726 |
240 | EE | Bruno Apolloni, Simone Bassis, Dario Malchiodi, Witold Pedrycz: Interpolating Support Information Granules. ICANN (2) 2006: 270-281 |
239 | EE | 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 |
238 | EE | 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 |
237 | EE | 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 |
236 | EE | Wladyslaw Homenda, Witold Pedrycz: Balanced Fuzzy Gates. RSCTC 2006: 107-116 |
235 | EE | 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 |
234 | EE | 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 |
233 | EE | Abdelhamid Bouchachia, Witold Pedrycz: Data Clustering with Partial Supervision. Data Min. Knowl. Discov. 12(1): 47-78 (2006) |
232 | EE | Abdelhamid Bouchachia, Witold Pedrycz: Enhancement of fuzzy clustering by mechanisms of partial supervision. Fuzzy Sets and Systems 157(13): 1733-1759 (2006) |
231 | EE | Witold Pedrycz, Keun Chang Kwak: Boosting of granular models. Fuzzy Sets and Systems 157(22): 2934-2953 (2006) |
230 | EE | 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) |
229 | EE | Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park: Genetically optimized fuzzy polynomial neural networks. IEEE T. Fuzzy Systems 14(1): 125-144 (2006) |
228 | EE | Witold Pedrycz: Logic-Based Fuzzy Neurocomputing With Unineurons. IEEE T. Fuzzy Systems 14(6): 860-873 (2006) |
227 | EE | 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) |
226 | EE | 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) |
225 | EE | 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) |
224 | EE | 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) |
223 | EE | 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) |
222 | EE | 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) |
221 | EE | Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz, Antonio di Nola: Fuzzy relational neural network. Int. J. Approx. Reasoning 41(2): 146-163 (2006) |
220 | EE | 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) |
219 | EE | Xiaofeng Liang, Witold Pedrycz: Fuzzy logic-based networks: A study in logic data interpretation. Int. J. Intell. Syst. 21(12): 1249-1267 (2006) |
218 | EE | 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) |
217 | EE | 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) |
216 | EE | Witold Pedrycz: Quantitative logic-based framework for agile methodologies. Journal of Systems Architecture 52(11): 700-707 (2006) |
215 | EE | 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) |
214 | EE | 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) |
213 | EE | 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) |
212 | EE | Sushmita Mitra, Witold Pedrycz: Special Issue on Bioinformatics. Pattern Recognition 39(12): 2265-2266 (2006) |
211 | EE | Sung-Kwun Oh, Witold Pedrycz: Genetic optimization-driven multi-layer hybrid fuzzy neural networks. Simulation Modelling Practice and Theory 14(5): 597-613 (2006) |
210 | EE | Yongming Li, Witold Pedrycz: The equivalence between fuzzy Mealy and fuzzy Moore machines. Soft Comput. 10(10): 953-959 (2006) |
2005 | ||
209 | EE | Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz, Tae-Chon Ahn: Design of Information Granules-Based Fuzzy Systems Using Clustering Algorithm and Genetic Optimization. Australian Conference on Artificial Intelligence 2005: 1142-1145 |
208 | EE | Keun Chang Kwak, Witold Pedrycz, Myung-Geun Chun: Modeling Nonlinear Systems: An Approach of Boosted Linguistic Models. FSKD (2) 2005: 514-523 |
207 | EE | Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Hyun-Ki Kim: Evolutionally Optimized Fuzzy Neural Networks Based on Evolutionary Fuzzy Granulation. ICCSA (4) 2005: 887-895 |
206 | Witold Pedrycz: Granular Computing in Knowledge Integration and Reuse. IRI 2005 | |
205 | EE | 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. IWANN 2005: 407-415 |
204 | EE | Sung-Kwun Oh, Seok-Beom Roh, Witold Pedrycz, Jong-Beom Lee: IG-Based Genetically Optimized Fuzzy Polynomial Neural Networks. IWANN 2005: 416-423 |
203 | EE | Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Yongkab Kim: Genetically Dynamic Optimization Based Fuzzy Polynomial Neural Networks. International Conference on Computational Science (1) 2005: 792-797 |
202 | EE | 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. International Conference on Computational Science (1) 2005: 798-803 |
201 | EE | 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. International Conference on Computational Science (3) 2005: 1100-1103 |
200 | EE | Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz: Optimization of Fuzzy Systems Based on Fuzzy Set Using Genetic Optimization and Information Granulation. MDAI 2005: 316-327 |
199 | EE | 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. MDAI 2005: 328-337 |
198 | EE | Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Hyun-Ki Kim: Genetically Optimized Hybrid Fuzzy Neural Networks in Modeling Software Data. MDAI 2005: 338-345 |
197 | EE | 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. MDAI 2005: 346-353 |
196 | EE | Sushmita Mitra, Haider Banka, Witold Pedrycz: Collaborative Rough Clustering. PReMI 2005: 768-773 |
195 | EE | Witold Pedrycz: Granular Computing with Shadowed Sets. RSFDGrC (1) 2005: 23-32 |
194 | EE | Andrés Dorado, Witold Pedrycz, Ebroul Izquierdo: User-Driven Fuzzy Clustering: On the Road to Semantic Classification. RSFDGrC (1) 2005: 421-430 |
193 | EE | Angelo Ciaramella, Witold Pedrycz, Roberto Tagliaferri: OR/AND Neurons for Fuzzy Set Connectives Using Ordinal Sums and Genetic Algorithms. WILF 2005: 188-194 |
192 | EE | Bruno Apolloni, D. Iannizzi, Dario Malchiodi, Witold Pedrycz: Granular Regression. WIRN/NAIS 2005: 147-156 |
191 | EE | Wladyslaw Homenda, Witold Pedrycz: Symmetrization Of Fuzzy Operators: Notes On Data Aggregation. Computational Intelligence for Modelling and Prediction 2005: 1-17 |
190 | EE | Hajime Nobuhara, Eduardo Masato Iyoda, Kaoru Hirota, Witold Pedrycz: Optimization of Image Compression Method Based on Fuzzy Relational Equations by Overlap Level of Fuzzy Sets. Computational Intelligence for Modelling and Prediction 2005: 163-177 |
189 | EE | 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) |
188 | EE | 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. Empirical Software Engineering 10(1): 81-104 (2005) |
187 | EE | Witold Pedrycz, Marek Reformat: Genetically optimized logic models. Fuzzy Sets and Systems 150(2): 351-371 (2005) |
186 | EE | Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz: The genetic development of ordinal sums. Fuzzy Sets and Systems 151(2): 303-325 (2005) |
185 | EE | Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz, Marek Reformat: Genetic learning of fuzzy cognitive maps. Fuzzy Sets and Systems 153(3): 371-401 (2005) |
184 | EE | Yongming Li, Witold Pedrycz: Fuzzy finite automata and fuzzy regular expressions with membership values in lattice-ordered monoids. Fuzzy Sets and Systems 156(1): 68-92 (2005) |
183 | EE | Andrzej Bargiela, Witold Pedrycz: Granular mappings. IEEE Transactions on Systems, Man, and Cybernetics, Part A 35(2): 292-297 (2005) |
182 | EE | Witold Pedrycz, Zenon A. Sosnowski: Genetically optimized fuzzy decision trees. IEEE Transactions on Systems, Man, and Cybernetics, Part B 35(3): 633-641 (2005) |
181 | EE | Witold Pedrycz, Zenon A. Sosnowski: C-fuzzy decision trees. IEEE Transactions on Systems, Man, and Cybernetics, Part C 35(4): 498-511 (2005) |
180 | EE | Kaori Yoshida, Witold Pedrycz: Guest Editorial - Special issue: Recent developments in hybrid intelligent systems. Int. J. Hybrid Intell. Syst. 2(4): 235-236 (2005) |
179 | EE | Yongming Li, Dechao Li, Witold Pedrycz, Jingjie Wu: An approach to measure the robustness of fuzzy reasoning. Int. J. Intell. Syst. 20(4): 393-413 (2005) |
178 | EE | Wladyslaw Homenda, Witold Pedrycz: Balanced fuzzy computing unit. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 13(2): 117-138 (2005) |
177 | EE | Norikazu Ikoma, Witold Pedrycz, Takahiro Hyakudome, Hiroshi Maeda: Adaptive Touch Panel User Interface by Type-Based Approach Using Particle Filters. JACIII 9(6): 643-653 (2005) |
176 | EE | Witold Pedrycz, Giancarlo Succi: Genetic granular classifiers in modeling software quality. Journal of Systems and Software 76(3): 277-285 (2005) |
175 | EE | Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park: Multi-layer hybrid fuzzy polynomial neural networks: a design in the framework of computational intelligence. Neurocomputing 64: 397-431 (2005) |
174 | EE | Keun Chang Kwak, Witold Pedrycz: Face recognition using a fuzzy fisherface classifier. Pattern Recognition 38(10): 1717-1732 (2005) |
173 | EE | Moongu Jeon, M. Alexander, Witold Pedrycz, Nicolino J. Pizzi: Unsupervised hierarchical image segmentation with level set and additive operator splitting. Pattern Recognition Letters 26(10): 1461-1469 (2005) |
172 | EE | Witold Pedrycz: Interpretation of clusters in the framework of shadowed sets. Pattern Recognition Letters 26(15): 2439-2449 (2005) |
171 | EE | Keun Chang Kwak, Witold Pedrycz: Face recognition: A study in information fusion using fuzzy integral. Pattern Recognition Letters 26(6): 719-733 (2005) |
170 | EE | Witold Pedrycz, Athanasios V. Vasilakos, M. Feroldi: Special issue on soft computing applications to CDMA power control optimization. Soft Comput. 9(2): 67 (2005) |
169 | EE | Andrzej Bargiela, Witold Pedrycz: A model of granular data: a design problem with the Tchebyschev FCM. Soft Comput. 9(3): 155-163 (2005) |
168 | EE | Marco Painho, Athanasios V. Vasilakos, Fernando Bação, Witold Pedrycz: Exploring spatial data through computational intelligence: a joint perspective. Soft Comput. 9(5): 326-331 (2005) |
167 | EE | Hajime Nobuhara, Witold Pedrycz, Kaoru Hirota: Relational image compression: optimizations through the design of fuzzy coders and YUV color space. Soft Comput. 9(6): 471-479 (2005) |
2004 | ||
166 | Madhura Purnaprajna, Marek Reformat, Witold Pedrycz: Genetic Algorithms in Hardware-Software Partitioning. ERSA 2004: 123-129 | |
165 | Andrés Dorado, Divna Djordjevic, Ebroul Izquierdo, Witold Pedrycz: Supervised Semantic Scene Classification Based on Low-Level Clustering and Relevance Feedback. EWIMT 2004 | |
164 | Vincenzo Loia, Witold Pedrycz, Sabrina Senatore, Maria I. Sessa: Proactive Utilization of Proximity-Oriented Information Inside an Agent-based Framework. FLAIRS Conference 2004 | |
163 | EE | Witold Pedrycz: Granular Modeling: The Synergy of Granular Computing and Fuzzy Logic. HIS 2004: 4 |
162 | EE | Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim: Genetically Optimized Self-Organizing Neural Networks Based on PNs and FPNs. ISNN (1) 2004: 156-161 |
161 | EE | 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. ISNN (1) 2004: 162-167 |
160 | EE | 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. ISNN (1) 2004: 174-179 |
159 | EE | Edyta Mrówka, Andrés Dorado, Witold Pedrycz, Ebroul Izquierdo: Dimensionality Reduction for Content-Based Image Classification. IV 2004: 435-438 |
158 | EE | Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim, Jong-Beom Lee: Self-Organizing Multi-layer Fuzzy Polynomial Neural Networks Based on Genetic Optimization. International Conference on Computational Science 2004: 179-187 |
157 | EE | Byoung-Jun Park, Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn: Information Granulation-Based Multi-layer Hybrid Fuzzy Neural Networks: Analysis and Design. International Conference on Computational Science 2004: 188-195 |
156 | EE | Yasue Mitsukura, Kensuke Mitsukura, Minoru Fukumi, Norio Akamatsu, Witold Pedrycz: Medical Diagnosis System Using the Intelligent Fuzzy Systems. KES 2004: 807-826 |
155 | EE | Witold Pedrycz: Granular Computing: An Overview. WSC 2004: 19-34 |
154 | EE | Sung-Kwun Oh, Witold Pedrycz: A new approach to self-organizing multi-layer fuzzy polynomial neural networks based on genetic optimization. Advanced Engineering Informatics 18(1): 29-39 (2004) |
153 | EE | Witold Pedrycz, Arnon Breuer, Nicolino J. Pizzi: Genetic design of feature spaces for pattern classifiers. Artificial Intelligence in Medicine 32(2): 115-125 (2004) |
152 | EE | Sung-Kwun Oh, Dae-Keun Lee, Witold Pedrycz, Dong-Hwa Kim: The Genetic Design Of Hybrid Fuzzy Controllers. Cybernetics and Systems 35(4): 333-361 (2004) |
151 | EE | Sung-Kwun Oh, Witold Pedrycz: Self-organizing polynomial neural networks based on polynomial and fuzzy polynomial neurons: analysis and design. Fuzzy Sets and Systems 142(2): 163-198 (2004) |
150 | EE | Witold Pedrycz, Mehmet Aksit: Editorial. Fuzzy Sets and Systems 145(1): 1-2 (2004) |
149 | EE | Marek Reformat, Witold Pedrycz, Nicolino J. Pizzi: Building a software experience factory using granular-based models. Fuzzy Sets and Systems 145(1): 111-139 (2004) |
148 | EE | Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park: Self-organizing neurofuzzy networks in modeling software data. Fuzzy Sets and Systems 145(1): 165-181 (2004) |
147 | EE | Witold Pedrycz, Vincenzo Loia, Sabrina Senatore: P-FCM: a proximity -- based fuzzy clustering. Fuzzy Sets and Systems 148(1): 21-41 (2004) |
146 | EE | Andrzej Bargiela, Witold Pedrycz, Kaoru Hirota: Granular prototyping in fuzzy clustering. IEEE T. Fuzzy Systems 12(5): 697-709 (2004) |
145 | EE | Keun Chang Kwak, Witold Pedrycz: Face recognition using fuzzy Integral and wavelet decomposition method. IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(4): 1666-1675 (2004) |
144 | Witold Pedrycz, Athanasios V. Vasilakos, Stamatis Karnouskos: Guest Editorial Special Issue on Computational Intelligence in Telecommunications Networks and Internet Services - Part III. IEEE Transactions on Systems, Man, and Cybernetics, Part C 34(1): 1-3 (2004) | |
143 | EE | Witold Pedrycz: Logic-Oriented Fuzzy Neural Networks. Int. J. Hybrid Intell. Syst. 1(1): 3-11 (2004) |
142 | EE | Witold Pedrycz: Associations and rules in data mining: A link analysis. Int. J. Intell. Syst. 19(7): 653-670 (2004) |
141 | EE | Pawel Brzeminski, Witold Pedrycz: Textual-Based Clustering Of Web Documents. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12(6): 715-744 (2004) |
140 | EE | Keun Chang Kwak, Witold Pedrycz, Hyoun-Joo Go, Myung-Geun Chun: Fuzzy Aggregation Method Using Fisherface and Wavelet Decomposition for Face Recognition. JACIII 8(4): 379-384 (2004) |
139 | EE | Andrzej Bargiela, Witold Pedrycz, Masahiro Tanaka: An inclusion/exclusion fuzzy hyperbox classifier. KES Journal 8(2): 91-98 (2004) |
138 | EE | Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park: Rule-based multi-FNN identification with the aid of evolutionary fuzzy granulation. Knowl.-Based Syst. 17(1): 1-13 (2004) |
137 | EE | Witold Pedrycz, George Vukovich: Fuzzy clustering with supervision. Pattern Recognition 37(7): 1339-1349 (2004) |
136 | EE | Witold Pedrycz: Fuzzy clustering with a knowledge-based guidance. Pattern Recognition Letters 25(4): 469-480 (2004) |
135 | EE | Witold Pedrycz, George Vukovich: Noninvasive data analysis: a web of information granules. Soft Comput. 8(10): 657-662 (2004) |
134 | EE | Hajime Nobuhara, Kaoru Hirota, Witold Pedrycz, Salvatore Sessa: Two iterative methods of decomposition of a fuzzy relation for image compression/decompression processing. Soft Comput. 8(10): 698-704 (2004) |
2003 | ||
133 | EE | Vincenzo Loia, Witold Pedrycz, Sabrina Senatore: Proximity fuzzy clustering for web context analysis. EUSFLAT Conf. 2003: 59-62 |
132 | EE | Abdelhamid Bouchachia, Witold Pedrycz: A Semi-supervised Clutsering Algorithm for Data Exploration. IFSA 2003: 328-337 |
131 | EE | Andrzej Bargiela, Witold Pedrycz, Masahiro Tanaka: Exclusion/Inclusion Fuzzy Classification Network. KES 2003: 1236-1241 |
130 | Roelof K. Brouwer, Witold Pedrycz: A Feed Forward Network and Its Training Algorithm for Producing Sets. Neural Networks and Computational Intelligence 2003: 112-117 | |
129 | EE | Sung-Kwun Oh, James F. Peters, Witold Pedrycz, Tae-Chon Ahn: Genetically Optimized Rule-Based Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies. RSFDGrC 2003: 437-444 |
128 | EE | Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz, Antonio di Nola: Fuzzy Relational Neural Network for Data Analysis. WILF 2003: 103-109 |
127 | EE | Antonino Staiano, Roberto Tagliaferri, Witold Pedrycz: Linear Regression Model-Guided Clustering for Training RBF Networks for Regression Problems. WILF 2003: 127-132 |
126 | EE | Roelof K. Brouwer, Witold Pedrycz: Training a feed-forward network with incomplete data due to missing input variables. Appl. Soft Comput. 3(1): 23-36 (2003) |
125 | Giancarlo Succi, Witold Pedrycz, Milorad Stefanovic, Barbara Russo: An Investigation on the Occurrence of Service Requests in Commercial Software Applications. Empirical Software Engineering 8(2): 197-215 (2003) | |
124 | EE | Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park: Hybrid identification in fuzzy-neural networks. Fuzzy Sets and Systems 138(2): 399-426 (2003) |
123 | EE | Witold Pedrycz, Heloisa de Arruda Camargo: Fuzzy timed Petri nets. Fuzzy Sets and Systems 140(2): 301-330 (2003) |
122 | Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park: Self-organizing neurofuzzy networks based on evolutionary fuzzy granulation. IEEE Transactions on Systems, Man, and Cybernetics, Part A 33(2): 271-277 (2003) | |
121 | Andrzej Bargiela, Witold Pedrycz, Masahiro Tanaka: A study of uncertain state estimation. IEEE Transactions on Systems, Man, and Cybernetics, Part A 33(3): 288-301 (2003) | |
120 | Andrzej Bargiela, Witold Pedrycz: Recursive information granulation: aggregation and interpretation issues. IEEE Transactions on Systems, Man, and Cybernetics, Part B 33(1): 96-112 (2003) | |
119 | Witold Pedrycz, Athanasios V. Vasilakos, Stamatis Karnouskos: Special issue on computational intelligence in telecommunications networks and Internet services. I. IEEE Transactions on Systems, Man, and Cybernetics, Part C 33(3): 294-296 (2003) | |
118 | Athanasios V. Vasilakos, Marios P. Saltouros, A. F. Atlassis, Witold Pedrycz: Optimizing QoS routing in hierarchical ATM networks using computational intelligence techniques. IEEE Transactions on Systems, Man, and Cybernetics, Part C 33(3): 297-312 (2003) | |
117 | Witold Pedrycz, Athanasios V. Vasilakos, Stamatis Karnouskos: Guest Editorial - Special issue on computational intelligence in telecommunications networks and internet services - Part II. IEEE Transactions on Systems, Man, and Cybernetics, Part C 33(4): 429-431 (2003) | |
116 | EE | Witold Pedrycz, Andrzej Bargiela: Fuzzy fractal dimensions and fuzzy modeling. Inf. Sci. 153: 199-216 (2003) |
115 | EE | Marek Reformat, Witold Pedrycz, Nicolino J. Pizzi: Software quality analysis with the use of computational intelligence. Information & Software Technology 45(7): 405-417 (2003) |
114 | EE | Vincenzo Loia, Witold Pedrycz, Sabrina Senatore: P-FCM: a proximity-based fuzzy clustering for user-centered web applications. Int. J. Approx. Reasoning 34(2-3): 121-144 (2003) |
113 | EE | 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. Journal of Systems and Software 65(1): 1-12 (2003) |
112 | EE | Witold Pedrycz, Myung-Geun Chun, Giancarlo Succi: N4: computing with neural receptive fields. Neurocomputing 55(1-2): 383-401 (2003) |
111 | EE | James F. Peters, Zbigniew Suraj, S. Shan, Sheela Ramanna, Witold Pedrycz, Nicolino J. Pizzi: Classification of meteorological volumetric radar data using rough set methods. Pattern Recognition Letters 24(6): 911-920 (2003) |
110 | EE | Shounak Roychowdhury, Witold Pedrycz: An alternative characterization of fuzzy complement functional. Soft Comput. 7(8): 563-565 (2003) |
109 | EE | Roelof K. Brouwer, Witold Pedrycz: Set oriented mappings on neural networks. Soft Comput. 8(1): 28-37 (2003) |
2002 | ||
108 | EE | Andrzej Bargiela, Witold Pedrycz, Kaoru Hirota: Logic-Based Granular Prototyping. COMPSAC 2002: 1164-1169 |
107 | Wladyslaw Homenda, Witold Pedrycz: Symmetrization of Fuzzy Operators: Notes on Data Aggregation. FSKD 2002: 23-27 | |
106 | Hajime Nobuhara, Witold Pedrycz, Kaoru Hirota: Fuzzy Relational Image Compression using Non-Uniform Coders Designed by an Overlap Level of Fuzzy Sets. FSKD 2002: 290-294 | |
105 | EE | Petr Musílek, Witold Pedrycz, Nan Sun, Giancarlo Succi: On the Sensitivity of COCOMO II Software Cost Estimation Model. IEEE METRICS 2002: 13-20 |
104 | EE | Witold Pedrycz: Computational intelligence as an emerging paradigm of software engineering. SEKE 2002: 7-14 |
103 | EE | 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. Advanced Engineering Informatics 16(4): 247-263 (2002) |
102 | EE | Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn: Self-organizing neural networks with fuzzy polynomial neurons. Appl. Soft Comput. 2(1): 1-10 (2002) |
101 | Giovanni Bortolan, Witold Pedrycz: An interactive framework for an analysis of ECG signals. Artificial Intelligence in Medicine 24(2): 109-132 (2002) | |
100 | EE | Kaoru Hirota, Witold Pedrycz: Data compression with fuzzy relational equations. Fuzzy Sets and Systems 126(3): 325-335 (2002) |
99 | EE | Shounak Roychowdhury, Witold Pedrycz: Modeling temporal functions with granular regression and fuzzy rules. Fuzzy Sets and Systems 126(3): 377-387 (2002) |
98 | EE | Giovanni Bortolan, Witold Pedrycz: Linguistic neurocomputing: the design of neural networks in the framework of fuzzy sets. Fuzzy Sets and Systems 128(3): 389-412 (2002) |
97 | Witold Pedrycz, Giancarlo Succi, Ofer Shai: Genetic-fuzzy approach to the Boolean satisfiability problem. IEEE Trans. Evolutionary Computation 6(5): 519-525 (2002) | |
96 | Witold Pedrycz: Relational and directional aspects in the construction of information granules. IEEE Transactions on Systems, Man, and Cybernetics, Part A 32(5): 605-614 (2002) | |
95 | Witold Pedrycz, George Vukovich: On elicitation of membership functions. IEEE Transactions on Systems, Man, and Cybernetics, Part A 32(6): 761-767 (2002) | |
94 | Witold Pedrycz, Andrzej Bargiela: Granular clustering: a granular signature of data. IEEE Transactions on Systems, Man, and Cybernetics, Part B 32(2): 212-224 (2002) | |
93 | EE | Sung-Kwun Oh, Witold Pedrycz: The design of self-organizing Polynomial Neural Networks. Inf. Sci. 141(3-4): 237-258 (2002) |
92 | EE | Witold Pedrycz, Adam Gacek: Temporal granulation and its application to signal analysis. Inf. Sci. 143(1-4): 47-71 (2002) |
91 | EE | Vincenzo Loia, Witold Pedrycz, Salvatore Sessa: Fuzzy Relation Calculus in the Compression and Decompression of Fuzzy Relations. Int. J. Image Graphics 2(4): 617-632 (2002) |
90 | Sung-Kwun Oh, Witold Pedrycz, Byoung-Jun Park: Hybrid identification of fuzzy rule-based models. Int. J. Intell. Syst. 17(1): 77-103 (2002) | |
89 | Witold Pedrycz, George Vukovich: Granular computing with shadowed sets. Int. J. Intell. Syst. 17(2): 173-197 (2002) | |
88 | EE | Witold Pedrycz, George Vukovich: Stability of Information Granulation and Information Granules. International Journal of Computational Intelligence and Applications 2(2): 221-238 (2002) |
87 | EE | Witold Pedrycz, Giancarlo Succi, Myung-Geun Chun: Association Analysis of Software Measures. International Journal of Software Engineering and Knowledge Engineering 12(3): 291-316 (2002) |
86 | EE | Sung-Kwun Oh, Dong-Won Kim, Witold Pedrycz: Hybrid Fuzzy Polynomial Neural Networks. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 10(3): 257-280 (2002) |
85 | EE | Witold Pedrycz: Knowledge-based neurocomputing. Ian Cloete and Jacek M. Zuranda (Eds.); MIT Press, Cambridge, MA, 2000, pp 486, ISBN 0-262-03274-0. Neurocomputing 47(1-4): 299-300 (2002) |
84 | EE | 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. Neurocomputing 47(1-4): 303-304 (2002) |
83 | EE | Witold Pedrycz, George Vukovich: Feature analysis through information granulation and fuzzy sets. Pattern Recognition 35(4): 825-834 (2002) |
82 | EE | Witold Pedrycz, George Vukovich: Logic-oriented fuzzy clustering. Pattern Recognition Letters 23(13): 1515-1527 (2002) |
81 | EE | Witold Pedrycz: Collaborative fuzzy clustering. Pattern Recognition Letters 23(14): 1675-1686 (2002) |
80 | EE | Witold Pedrycz, Athanasios V. Vasilakos: Modularization of fuzzy relational equations. Soft Comput. 6(1): 33-37 (2002) |
79 | EE | Witold Pedrycz, George Vukovich: An fMUX architecture: data modularization and mixed-mode system modeling. Soft Comput. 6(3-4): 271-276 (2002) |
78 | EE | Witold Pedrycz: Computational intelligence and visual computing: an emerging technology for software engineering. Soft Comput. 7(1): 33-44 (2002) |
77 | EE | Witold Pedrycz, Giancarlo Succi: fXOR fuzzy logic networks. Soft Comput. 7(2): 115-120 (2002) |
2001 | ||
76 | EE | Roelof K. Brouwer, Witold Pedrycz: One-to-many mappings represented on feed-forward networks. ESANN 2001: 365-370 |
75 | EE | Hung T. Nguyen, Vladik Kreinovich, Witold Pedrycz: Towards fusing sophisticated mathematical knowledge and informal expert knowledge: an arbitrary metric can be naturally interpreted in fuzzy terms. EUSFLAT Conf. 2001: 406-409 |
74 | Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz: Fuzzy Relations Neural Network: Some Preliminary Results. FUZZ-IEEE 2001: 469-472 | |
73 | Pratit Santiprabhob, Hung T. Nguyen, Witold Pedrycz, Vladik Kreinovich: Logic-motivated Choice of Fuzzy Logic Operators. FUZZ-IEEE 2001: 646-649 | |
72 | Giancarlo Succi, Jason Yip, Witold Pedrycz: Holmes: An Intelligent System to Support Software Product Line Development. ICSE 2001: 829-830 | |
71 | 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. OOIS 2001: 103-112 | |
70 | Gabriel Jarillo, Giancarlo Succi, Witold Pedrycz, Marek Reformat: Analysis of Software Engineering Data Using Computational Intelligence Techniques. OOIS 2001: 133- | |
69 | EE | Athanasios V. Vasilakos, Kostas G. Anagnostakis, Witold Pedrycz: Application of computational intelligence techniques in active networks. SAC 2001: 448-455 |
68 | EE | Witold Pedrycz: Fuzzy equalization in the construction of fuzzy sets. Fuzzy Sets and Systems 119(2): 329-335 (2001) |
67 | EE | Witold Pedrycz, Zenon A. Sosnowski: The design of decision trees in the framework of granular data and their application to software quality models. Fuzzy Sets and Systems 123(3): 271-290 (2001) |
66 | Witold Pedrycz, George Vukovich: Abstraction and specialization of information granules. IEEE Transactions on Systems, Man, and Cybernetics, Part B 31(1): 106-111 (2001) | |
65 | Witold Pedrycz, Kaoru Hirota, Salvatore Sessa: A decomposition of fuzzy relations. IEEE Transactions on Systems, Man, and Cybernetics, Part B 31(4): 657-663 (2001) | |
64 | Shounak Roychowdhury, Witold Pedrycz: A survey of defuzzification strategies. Int. J. Intell. Syst. 16(6): 679-695 (2001) | |
63 | Witold Pedrycz, Adam Gacek: Learning of Fuzzy Automata. International Journal of Computational Intelligence and Applications 1(1): 19-33 (2001) | |
62 | EE | Witold Pedrycz, Giancarlo Succi, Petr Musílek, Xiao Bai: Using self-organizing maps to analyze object-oriented software measures. Journal of Systems and Software 59(1): 65-82 (2001) |
61 | EE | Sankar K. Pal, Witold Pedrycz, Andrzej Skowron, Roman W. Swiniarski: Presenting the special issue on Rough-neuro computing : Preface. Neurocomputing 36(1-4): 1-3 (2001) |
60 | EE | Witold Pedrycz, Liting Han, James F. Peters, Sheela Ramanna, R. Zhai: Calibration of software quality: Fuzzy neural and rough neural computing approaches. Neurocomputing 36(1-4): 149-170 (2001) |
59 | EE | Witold Pedrycz, George Vukovich: Granular neural networks. Neurocomputing 36(1-4): 205-224 (2001) |
58 | EE | Athanasios V. Vasilakos, Kostas G. Anagnostakis, Witold Pedrycz: Application of computational intelligence techniques in active networks. Soft Comput. 5(4): 264-271 (2001) |
2000 | ||
57 | EE | Giancarlo Succi, Jason Yip, Eric Liu, Witold Pedrycz: Holmes: a system to support software product lines. ICSE 2000: 786 |
56 | EE | Nicolino J. Pizzi, Witold Pedrycz: Fuzzy Set Theoretic Adjustment to Training Set Class Labels Using Robust Location Measures. IJCNN (3) 2000: 109-114 |
55 | Witold Pedrycz, Athanasios V. Vasilakos, Adam Gacek: Information Granulation for Concept Formation. SAC (1) 2000: 484-489 | |
54 | Witold Pedrycz, Zenon A. Sosnowski: Designing decision trees with the use of fuzzy granulation. IEEE Transactions on Systems, Man, and Cybernetics, Part A 30(2): 151-159 (2000) | |
53 | Witold Pedrycz, George Vukovich: Investigating a relevance of fuzzy mappings. IEEE Transactions on Systems, Man, and Cybernetics, Part B 30(2): 249-262 (2000) | |
52 | Witold Pedrycz, George Vukovich: Granular worlds: Representation and communication problems. Int. J. Intell. Syst. 15(11): 1015-1026 (2000) | |
51 | EE | Witold Pedrycz, George Vukovich: Representation and Propagation of Information Granules in Rule-based Computing. JACIII 4(1): 102-110 (2000) |
50 | Max Q.-H. Meng, Witold Pedrycz: Sampling Research on Advanced Computational Intelligence in Canada. JACIII 4(3): 187- (2000) | |
49 | EE | Mark D. Alexiuk, Nicolino J. Pizzi, Pak Ching Li, Witold Pedrycz: Neural Network Based Power Flow Predictor. JACIII 4(3): 206-211 (2000) |
48 | EE | Myung-Geun Chun, Keun Chang Kwak, Jeong-Woong Ryu, Witold Pedrycz: A Fuzzy Rule Extraction Method for ANFIS Using CFCM and Fuzzy Equalization. JACIII 4(5): 355-361 (2000) |
47 | EE | 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. Neurocomputing 35(1-4): 203-204 (2000) |
1999 | ||
46 | Kaoru Hirota, Witold Pedrycz: Fuzzy relational compression. IEEE Transactions on Systems, Man, and Cybernetics, Part B 29(3): 407-415 (1999) | |
45 | Witold Pedrycz, Athanasios V. Vasilakos: Linguistic models and linguistic modeling. IEEE Transactions on Systems, Man, and Cybernetics, Part B 29(6): 745-757 (1999) | |
44 | EE | Takeshi Furuhashi, Hidehiro Yamamoto, James F. Peters, Witold Pedrycz: Fuzzy Control Stability Analysis Using a Generalized Fuzzy Petri Net Model. JACIII 3(2): 99-105 (1999) |
43 | EE | Walmir M. Caminhas, Hermano Tavares, Fernando A. C. Gomide, Witold Pedrycz: Fuzzy Set Based Neural Networks: Structure, Learning and Application. JACIII 3(3): 151-157 (1999) |
42 | EE | 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. Neural Computing and Applications 8(2): 106-113 (1999) |
41 | EE | Witold Pedrycz: Generalized fuzzy Petri nets as pattern classifiers. Pattern Recognition Letters 20(14): 1489-1498 (1999) |
1998 | ||
40 | EE | Witold Pedrycz: Conditional fuzzy clustering in the design of radial basis function neural networks. IEEE Transactions on Neural Networks 9(4): 601-612 (1998) |
39 | EE | Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski: Data Mining Methods for Knowledge Discovery. IEEE Transactions on Neural Networks 9(6): 1533-1534 (1998) |
38 | Witold Pedrycz: Shadowed sets: representing and processing fuzzy sets. IEEE Transactions on Systems, Man, and Cybernetics, Part B 28(1): 103-109 (1998) | |
37 | Antonio Gisolfi, Witold Pedrycz, Salvatore Sessa: Guest Editorial. Inf. Sci. 106(1-2): 1-2 (1998) | |
36 | Kaoru Hirota, Witold Pedrycz: Implicitly-Supervised Learning and Its Application to Fuzzy Pattern Classifiers. Inf. Sci. 106(1-2): 71-85 (1998) | |
35 | EE | Witold Pedrycz: Fuzzy evolutionary computing. Soft Comput. 2(2): 61-72 (1998) |
1997 | ||
34 | Witold Pedrycz, James Waletzky: Fuzzy clustering with partial supervision. IEEE Transactions on Systems, Man, and Cybernetics, Part B 27(5): 787-795 (1997) | |
33 | EE | Giovanni Bortolan, Witold Pedrycz: Fuzzy Encoding and Decoding: A Study in Information Granularity. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 5(1): 71-92 (1997) |
32 | Witold Pedrycz, James Waletzky: Fuzzy Clustering in Software Reusability. Softw., Pract. Exper. 27(3): 245-270 (1997) | |
1996 | ||
31 | Witold Pedrycz: Interfaces of Fuzzy Models: A Study in Fuzzy Information Processing. Inf. Sci. 90(1-4): 231-280 (1996) | |
30 | EE | Witold Pedrycz: Classification of relational patterns as a decomposition problem. Pattern Recognition Letters 17(1): 91-99 (1996) |
29 | EE | Yukiko Nakagawa, Kaoru Hirota, Witold Pedrycz: A fuzzy knowledge base for dynamic image understandin. Pattern Recognition Letters 17(6): 601-605 (1996) |
28 | EE | Witold Pedrycz: Conditional Fuzzy C-Means. Pattern Recognition Letters 17(6): 625-631 (1996) |
1995 | ||
27 | EE | Kaoru Hirota, Witold Pedrycz: D-fuzzy clustering. Pattern Recognition Letters 16(2): 193-200 (1995) |
1994 | ||
26 | Zaifu Zhang, Robert D. McLeod, Witold Pedrycz: Augmenting Scan Path SRLs with an XOR Network to Enhance Delay Fault Testing. DFT 1994: 55-64 | |
25 | Witold Pedrycz, Eugene Roventa: A Hierarchical Neural Model of Matching. Inf. Sci. 78(3-4): 215-227 (1994) | |
24 | Siegfried Gottwald, Witold Pedrycz: Revealing Logical Dependencies in Fuzzy Data with the Aid of Multilevel Fuzzy Relational Equations. Inf. Sci. 78(3-4): 311-324 (1994) | |
1993 | ||
23 | EE | C. Sul, Robert D. McLeod, Witold Pedrycz: Reliable and fast reconfigurable hierarchical interconnection networks for linear WSI arrays. IEEE Trans. VLSI Syst. 1(2): 224-228 (1993) |
22 | EE | Kaoru Hirota, Witold Pedrycz: Logic-based neural networks. Inf. Sci. 71(1-2): 99-130 (1993) |
21 | EE | Zaifu Zhang, Robert D. McLeod, Witold Pedrycz: A neural network algorithm for testing stuck-open faults in CMOS combinational circuits. J. Electronic Testing 4(3): 225-235 (1993) |
1992 | ||
20 | Witold Pedrycz: Modelling with Fuzzy Sets in Fuzzy Control. Fuzzy Days 1992: 3-34 | |
19 | EE | Antonio di Nola, Salvatore Sessa, Witold Pedrycz: A study on approximate reasoning mechanisms via fuzzy relation equations. Int. J. Approx. Reasoning 6(1): 33-44 (1992) |
18 | EE | Kaoru Hirota, Witold Pedrycz: Prototype construction and evaluation as inverse problems in pattern classification. Pattern Recognition 25(6): 601-608 (1992) |
17 | EE | Witold Pedrycz: Author's reply. Pattern Recognition 25(9): 1071-1072 (1992) |
1991 | ||
16 | Antonio di Nola, Witold Pedrycz, Salvatore Sessa: Difference Fuzzy Relation Equations: Studies in Dynamical Systems. ECSQARU 1991: 161-165 | |
15 | Witold Pedrycz: Fuzzy Dynamic Systems. Fuzzy Logic and Fuzzy Control 1991: 37-44 | |
14 | EE | Witold Pedrycz: Neurocomputations in Relational Systems. IEEE Trans. Pattern Anal. Mach. Intell. 13(3): 289-297 (1991) |
13 | EE | Witold Pedrycz: Fuzzy logic in development of fundamentals of pattern recognition. Int. J. Approx. Reasoning 5(3): 251-264 (1991) |
12 | EE | Witold Pedrycz: Formation of prototypes and their confidence regions in classification and concept formation problems. Pattern Recognition Letters 12(12): 739-746 (1991) |
1990 | ||
11 | EE | Antonio di Nola, Salvatore Sessa, Witold Pedrycz: On some finite fuzzy relation equations. Inf. Sci. 50(1): 93-109 (1990) |
10 | EE | Witold Pedrycz: Relevancy of fuzzy models. Inf. Sci. 52(3): 285-302 (1990) |
9 | EE | Witold Pedrycz: Fuzzy sets in pattern recognition: Methodology and methods. Pattern Recognition 23(1-2): 121-146 (1990) |
8 | EE | Antonio di Nola, Witold Pedrycz, Salvatore Sessa, Elie Sanchez: Designing of classification procedures with the use of equality and difference operators. Pattern Recognition 23(8): 911-917 (1990) |
1989 | ||
7 | EE | Antonio di Nola, Witold Pedrycz, Salvatore Sessa: An aspect of discrepancy in the implementation of modus ponens in the presence of fuzzy quantities. Int. J. Approx. Reasoning 3(3): 259-265 (1989) |
6 | EE | 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 . Int. J. Approx. Reasoning 3(6): 467-469 (1989) |
1988 | ||
5 | Vilém Novák, Witold Pedrycz: Fuzzy Sets and T-Norms in the Light of Fuzzy Logic. International Journal of Man-Machine Studies 29(2): 113-127 (1988) | |
1986 | ||
4 | Siegfried Gottwald, Witold Pedrycz: On the Suitability of Fuzzy Models: An Evaluation Through Fuzzy Integrals. International Journal of Man-Machine Studies 24(2): 141-151 (1986) | |
1984 | ||
3 | EE | Antonio di Nola, Witold Pedrycz, Salvatore Sessa: Some theoretical aspects of fuzzy-relation equations describing fuzzy systems. Inf. Sci. 34(3): 241-264 (1984) |
1982 | ||
2 | EE | Kaoru Hirota, Witold Pedrycz: Fuzzy system identification via probabilistic sets. Inf. Sci. 28(1): 21-43 (1982) |
1981 | ||
1 | Ernest Czogala, Witold Pedrycz: Some Problems Concerning the Construction of Algorithms of Decision-Making in Fuzzy Systems. International Journal of Man-Machine Studies 15(2): 201-211 (1981) |