Witold Pedrycz - Publications

Affiliations: 
Electrical and Computer Engineering University of Alberta, Edmonton, Alberta, Canada 
Area:
Computer Engineering, Artificial Intelligence

93 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2016 Zhao J, Han Z, Pedrycz W, Wang W. Granular Model of Long-Term Prediction for Energy System in Steel Industry. Ieee Transactions On Cybernetics. 46: 388-400. PMID 26168454 DOI: 10.1109/TCYB.2015.2445918  0.96
2016 Talaska T, Kolasa M, Dlugosz R, Pedrycz W. Analog Programmable Distance Calculation Circuit for Winner Takes All Neural Network Realized in the CMOS Technology. Ieee Transactions On Neural Networks and Learning Systems. 27: 661-73. PMID 26087501 DOI: 10.1109/TNNLS.2015.2434847  0.96
2016 Pedrycz W, Jastrzebska A, Homenda W. Design of fuzzy cognitive maps for modeling time series Ieee Transactions On Fuzzy Systems. 24: 120-130. DOI: 10.1109/TFUZZ.2015.2428717  0.96
2016 Wang X, Pedrycz W, Gacek A, Liu X. From numeric data to information granules: A design through clustering and the principle of justifiable granularity Knowledge-Based Systems. 101: 100-113. DOI: 10.1016/j.knosys.2016.03.012  0.96
2016 Isazadeh A, Mahan F, Pedrycz W. MFlexDT: multi flexible fuzzy decision tree for data stream classification Soft Computing. 20: 3719-3733. DOI: 10.1007/s00500-015-1733-2  0.96
2016 Zhang L, Lu W, Liu X, Pedrycz W, Zhong C, Wang L. A Global Clustering Approach Using Hybrid Optimization for Incomplete Data Based on Interval Reconstruction of Missing Value International Journal of Intelligent Systems. 31: 297-313. DOI: 10.1002/int.21752  0.96
2015 Yoo SH, Oh SK, Pedrycz W. Optimized face recognition algorithm using radial basis function neural networks and its practical applications. Neural Networks : the Official Journal of the International Neural Network Society. 69: 111-25. PMID 26163042 DOI: 10.1016/j.neunet.2015.05.001  0.96
2015 Chalmers E, Pedrycz W, Lou E. Human experts' and a fuzzy model's predictions of outcomes of scoliosis treatment: a comparative analysis. Ieee Transactions On Bio-Medical Engineering. 62: 1001-7. PMID 25494498 DOI: 10.1109/TBME.2014.2377594  0.96
2015 Pedrycz W, Lu J. Guest editorial: Web-based intelligent support systems - Preface to the special section Ieee Transactions On Fuzzy Systems. 23: 1-2. DOI: 10.1109/TFUZZ.2015.2393391  0.96
2015 Gacek A, Pedrycz W. Clustering Granular Data and Their Characterization with Information Granules of Higher Type Ieee Transactions On Fuzzy Systems. 23: 850-860. DOI: 10.1109/TFUZZ.2014.2329707  0.96
2015 Karczmarek P, Kiersztyn A, Rutka P, Pedrycz W. Linguistic descriptors in face recognition: A literature survey and the perspectives of future development Signal Processing - Algorithms, Architectures, Arrangements, and Applications Conference Proceedings, Spa. 2015: 98-103. DOI: 10.1109/SPA.2015.7365141  0.96
2015 Fan K, Chang J, Pedrycz W, Liu Z, Zhu Y. A nonlinear piezoelectric energy harvester for various mechanical motions Applied Physics Letters. 106. DOI: 10.1063/1.4922212  0.96
2015 Homenda W, Jastrzebska A, Pedrycz W. Fuzzy cognitive map reconstruction - Dynamics vs. History Aip Conference Proceedings. 1648. DOI: 10.1063/1.4912886  0.96
2015 Fan K, Pedrycz W. Emergence and spread of extremist opinions Physica a: Statistical Mechanics and Its Applications. 436: 87-97. DOI: 10.1016/j.physa.2015.05.056  0.96
2015 Wang S, Pedrycz W, Zhu Q, Zhu W. Subspace learning for unsupervised feature selection via matrix factorization Pattern Recognition. 48: 10-19. DOI: 10.1016/j.patcog.2014.08.004  0.96
2015 Wang X, Liu X, Pedrycz W, Zhang L. Fuzzy rule based decision trees Pattern Recognition. 48: 50-59. DOI: 10.1016/j.patcog.2014.08.001  0.96
2015 Reyes-Galaviz OF, Pedrycz W. Granular fuzzy modeling with evolving hyperboxes in multi-dimensional space of numerical data Neurocomputing. 168: 240-253. DOI: 10.1016/j.neucom.2015.05.102  0.96
2015 Qin J, Liu X, Pedrycz W. An extended VIKOR method based on prospect theory for multiple attribute decision making under interval type-2 fuzzy environment Knowledge-Based Systems. 86: 116-130. DOI: 10.1016/j.knosys.2015.05.025  0.96
2015 Pedrycz W, Succi G, Sillitti A, Iljazi J. Data description: A general framework of information granules Knowledge-Based Systems. 80: 98-108. DOI: 10.1016/j.knosys.2014.12.030  0.96
2015 Pedrycz W, Al-Hmouz R, Balamash AS, Morfeq A. Designing granular fuzzy models: A hierarchical approach to fuzzy modeling Knowledge-Based Systems. 76: 42-52. DOI: 10.1016/j.knosys.2014.11.025  0.96
2015 Wang S, Pedrycz W, Zhu Q, Zhu W. Unsupervised feature selection via maximum projection and minimum redundancy Knowledge-Based Systems. 75: 19-29. DOI: 10.1016/j.knosys.2014.11.008  0.96
2015 Dong R, Pedrycz W. Approximation grid evaluation-based PID control in cascade with nonlinear gain Journal of the Franklin Institute. 352: 4279-4296. DOI: 10.1016/j.jfranklin.2015.06.018  0.96
2015 Hu X, Pedrycz W, Wang X. Comparative analysis of logic operators: A perspective of statistical testing and granular computing International Journal of Approximate Reasoning. 66: 73-90. DOI: 10.1016/j.ijar.2015.07.011  0.96
2015 Li J, Pedrycz W, Wang X. A rule-based development of incremental models International Journal of Approximate Reasoning. 64: 20-38. DOI: 10.1016/j.ijar.2015.06.007  0.96
2015 Reyes-Galaviz OF, Pedrycz W. Granular fuzzy models: Analysis, design, and evaluation International Journal of Approximate Reasoning. 64: 1-19. DOI: 10.1016/j.ijar.2015.06.005  0.96
2015 Lu W, Chen X, Pedrycz W, Liu X, Yang J. Using interval information granules to improve forecasting in fuzzy time series International Journal of Approximate Reasoning. 57: 1-18. DOI: 10.1016/j.ijar.2014.11.002  0.96
2015 Nguyen DD, Ngo LT, Pham LT, Pedrycz W. Towards hybrid clustering approach to data classification: Multiple kernels based interval-valued Fuzzy C-Means algorithms Fuzzy Sets and Systems. 279: 17-39. DOI: 10.1016/j.fss.2015.01.020  0.96
2015 Portmann E, Meier A, Cudré-Mauroux P, Pedrycz W. FORA - A fuzzy set based framework for online reputation management Fuzzy Sets and Systems. 269: 90-114. DOI: 10.1016/j.fss.2014.06.004  0.96
2015 Al-Hmouz R, Pedrycz W, Balamash A. Description and prediction of time series: A general framework of Granular Computing Expert Systems With Applications. 42: 4830-4839. DOI: 10.1016/j.eswa.2015.01.060  0.96
2015 Chen J, Pedrycz W, Ha M, Ma L. Set-valued samples based support vector regression and its applications Expert Systems With Applications. 42: 2502-2509. DOI: 10.1016/j.eswa.2014.09.038  0.96
2015 Wang W, Pedrycz W, Liu X. Time series long-term forecasting model based on information granules and fuzzy clustering Engineering Applications of Artificial Intelligence. 41: 17-24. DOI: 10.1016/j.engappai.2015.01.006  0.96
2015 Izakian H, Pedrycz W, Jamal I. Fuzzy clustering of time series data using dynamic time warping distance Engineering Applications of Artificial Intelligence. 39: 235-244. DOI: 10.1016/j.engappai.2014.12.015  0.96
2015 Sheri AM, Rafique A, Pedrycz W, Jeon M. Contrastive divergence for memristor-based restricted Boltzmann machine Engineering Applications of Artificial Intelligence. 37: 336-342. DOI: 10.1016/j.engappai.2014.09.013  0.96
2015 Fan K, Chang J, Chao F, Pedrycz W. Design and development of a multipurpose piezoelectric energy harvester Energy Conversion and Management. 96: 430-439. DOI: 10.1016/j.enconman.2015.03.014  0.96
2015 Giacomin PAS, Hemerly EM, Pedrycz W. A probabilistic approach for designing nonlinear optimal robust tracking controllers for unmanned aerial vehicles Applied Soft Computing Journal. 34: 26-38. DOI: 10.1016/j.asoc.2015.04.021  0.96
2015 Liang D, Pedrycz W, Liu D, Hu P. Three-way decisions based on decision-theoretic rough sets under linguistic assessment with the aid of group decision making Applied Soft Computing Journal. 29: 256-269. DOI: 10.1016/j.asoc.2015.01.008  0.96
2015 Liu X, Wang X, Pedrycz W. Fuzzy clustering with semantic interpretation Applied Soft Computing Journal. 26: 21-30. DOI: 10.1016/j.asoc.2014.09.037  0.96
2015 Gacek A, Pedrycz W. Corrigendum to "A characterization of electrocardiogram signals through optimal allocation of information granularity" [Artif. Intell. Med., 54 (2012) 125-134] DOI: 10.1016/j.artmed.2011.09.007 Artificial Intelligence in Medicine. 64: 227. DOI: 10.1016/j.artmed.2015.07.001  0.96
2015 He ZM, Chan PPK, Yeung DS, Pedrycz W, Ng WWY. Quantification of side-channel information leaks based on data complexity measures for web browsing International Journal of Machine Learning and Cybernetics. 6: 607-619. DOI: 10.1007/s13042-015-0348-3  0.96
2015 Gwak J, Jeon M, Pedrycz W. Bolstering efficient SSGAs based on an ensemble of probabilistic variable-wise crossover strategies Soft Computing. DOI: 10.1007/s00500-015-1630-8  0.96
2015 Al-Hmouz R, Pedrycz W, Balamash A, Morfeq A. Description and classification of granular time series Soft Computing. 19: 1003-1017. DOI: 10.1007/s00500-014-1311-z  0.96
2015 Pedrycz W, Li K, Reformat M. Evolutionary reduction of fuzzy rule-based models Studies in Fuzziness and Soft Computing. 326: 459-481. DOI: 10.1007/978-3-319-19683-1_23  0.96
2015 Prokopowicz P, Pedrycz W. The directed compatibility between ordered fuzzy numbers-A base tool for a direction sensitive fuzzy information processing Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 9119: 249-259. DOI: 10.1007/978-3-319-19324-3_23  0.96
2015 Homenda W, Pedrycz W. Linguistic approach to granular cognitive maps user’s tool for knowledge accessing and processing Advances in Intelligent Systems and Computing. 322: 205-216. DOI: 10.1007/978-3-319-11313-5_20  0.96
2015 Lu W, Zhang L, Liu X, Yang J, Pedrycz W. A human-computer cooperation fuzzy c-means clustering with interval-valued weights International Journal of Intelligent Systems. 30: 81-98. DOI: 10.1002/int.21683  0.96
2015 Feng F, Pedrycz W. On scalar products and decomposition theorems of fuzzy soft sets Journal of Multiple-Valued Logic and Soft Computing. 25: 45-80.  0.96
2014 Huang W, Oh SK, Pedrycz W. Design of hybrid radial basis function neural networks (HRBFNNs) realized with the aid of hybridization of fuzzy clustering method (FCM) and polynomial neural networks (PNNs). Neural Networks : the Official Journal of the International Neural Network Society. 60: 166-81. PMID 25233483 DOI: 10.1016/j.neunet.2014.08.007  0.96
2014 Wang S, Watada J, Pedrycz W. Granular robust mean-CVaR feedstock flow planning for waste-to-energy systems under integrated uncertainty. Ieee Transactions On Cybernetics. 44: 1846-57. PMID 25222726 DOI: 10.1109/TCYB.2013.2296500  0.96
2014 Xu X, Huang Z, Graves D, Pedrycz W. A clustering-based graph Laplacian framework for value function approximation in reinforcement learning. Ieee Transactions On Cybernetics. 44: 2613-25. PMID 24802018 DOI: 10.1109/TCYB.2014.2311578  0.96
2014 Wu G, Pedrycz W, Ma M, Qiu D, Li H, Liu J. A particle swarm optimization variant with an inner variable learning strategy. Thescientificworldjournal. 2014: 713490. PMID 24587746 DOI: 10.1155/2014/713490  0.96
2014 Homenda W, Jastrzebska A, Pedrycz W, Piliszek R. Classification with a limited space of features: Improving quality by rejecting misclassifications 2014 4th World Congress On Information and Communication Technologies, Wict 2014. 164-169. DOI: 10.1109/WICT.2014.7077322  0.96
2014 Homenda W, Jastrzebska A, Pedrycz W. On interpretation of fuzzy cognitive maps trained to model time series 2014 4th World Congress On Information and Communication Technologies, Wict 2014. 152-157. DOI: 10.1109/WICT.2014.7077320  0.96
2014 Pedrycz W, Homenda W. From fuzzy cognitive maps to granular cognitive maps Ieee Transactions On Fuzzy Systems. 22: 859-869. DOI: 10.1109/TFUZZ.2013.2277730  0.96
2014 Bandyopadhyay S, Maulik U, Coello CAC, Pedrycz W. Guest editorial: Special issue on advances in multiobjective evolutionary algorithms for data mining Ieee Transactions On Evolutionary Computation. 18: 1-3. DOI: 10.1109/TEVC.2013.2292181  0.96
2014 Pasi G, Pedrycz W. Information filtering and retrieval: Soft computing-based approaches minitrack Proceedings of the Annual Hawaii International Conference On System Sciences. 905. DOI: 10.1109/HICSS.2014.119  0.96
2014 Yan Z, Obaidat MS, Pedrycz W. Message from the CIT 2014 general chairs Proceedings - 2014 Ieee International Conference On Computer and Information Technology, Cit 2014. xviii-xix. DOI: 10.1109/CIT.2014.4  0.96
2014 Li D, Pedrycz W. A central profile-based 3D face pose estimation Pattern Recognition. 47: 525-534. DOI: 10.1016/j.patcog.2013.07.019  0.96
2014 Yu J, Jeon M, Pedrycz W. Weighted feature trajectories and concatenated bag-of-features for action recognition Neurocomputing. 131: 200-207. DOI: 10.1016/j.neucom.2013.10.024  0.96
2014 Izakian H, Pedrycz W. Agreement-based fuzzy C-means for clustering data with blocks of features Neurocomputing. 127: 266-280. DOI: 10.1016/j.neucom.2013.08.006  0.96
2014 Pedrycz W, Al-Hmouz R, Morfeq A, Balamash AS. Building granular fuzzy decision support systems Knowledge-Based Systems. 58: 3-10. DOI: 10.1016/j.knosys.2013.07.022  0.96
2014 Cimino MGCA, Lazzerini B, Marcelloni F, Pedrycz W. Genetic interval neural networks for granular data regression Information Sciences. 257: 313-330. DOI: 10.1016/j.ins.2012.12.049  0.96
2014 Pedrycz W, Song M. A granulation of linguistic information in AHP decision-making problems Information Fusion. 17: 93-101. DOI: 10.1016/j.inffus.2011.09.003  0.96
2014 Acampora G, Pedrycz W, Vasilakos AV. Efficient modeling of MIMO systems through Timed Automata based Neuro-Fuzzy Inference Engine International Journal of Approximate Reasoning. 55: 1336-1356. DOI: 10.1016/j.ijar.2014.02.003  0.96
2014 Nguyen CH, Huynh VN, Pedrycz W. A construction of sound semantic linguistic scales using 4-tuple representation of term semantics International Journal of Approximate Reasoning. 55: 763-786. DOI: 10.1016/j.ijar.2013.10.012  0.96
2014 Hu X, Pedrycz W, Castillo O, Melin P. Fuzzy rule-based models with interactive rules and their granular generalization Fuzzy Sets and Systems. DOI: 10.1016/j.fss.2016.03.005  0.96
2014 Pedrycz W. From fuzzy data analysis and fuzzy regression to granular fuzzy data analysis Fuzzy Sets and Systems. DOI: 10.1016/j.fss.2014.04.017  0.96
2014 Oh SK, Kim WD, Pedrycz W, Seo K. Fuzzy Radial Basis Function Neural Networks with information granulation and its parallel genetic optimization Fuzzy Sets and Systems. 237: 96-117. DOI: 10.1016/j.fss.2013.08.011  0.96
2014 Purba JH, Lu J, Zhang G, Pedrycz W. A fuzzy reliability assessment of basic events of fault trees through qualitative data processing Fuzzy Sets and Systems. 243: 50-69. DOI: 10.1016/j.fss.2013.06.009  0.96
2014 Isazadeh A, Pedrycz W, Mahan F. ECA rule learning in dynamic environments Expert Systems With Applications. 41: 7847-7857. DOI: 10.1016/j.eswa.2014.06.028  0.96
2014 Wu G, Qiu D, Yu Y, Pedrycz W, Ma M, Li H. Superior solution guided particle swarm optimization combined with local search techniques Expert Systems With Applications. 41: 7536-7548. DOI: 10.1016/j.eswa.2014.06.005  0.96
2014 Roh SB, Pedrycz W, Ahn TC. A design of granular fuzzy classifier Expert Systems With Applications. 41: 6786-6795. DOI: 10.1016/j.eswa.2014.04.040  0.96
2014 Zhang L, Pedrycz W, Lu W, Liu X. An interval weighed fuzzy c-means clustering by genetically guided alternating optimization Expert Systems With Applications. 41: 5960-5971. DOI: 10.1016/j.eswa.2014.03.042  0.96
2014 Lu W, Pedrycz W, Liu X, Yang J, Li P. The modeling of time series based on fuzzy information granules Expert Systems With Applications. 41: 3799-3808. DOI: 10.1016/j.eswa.2013.12.005  0.96
2014 Wang L, Liu X, Pedrycz W, Shao Y. Determination of temporal information granules to improve forecasting in fuzzy time series Expert Systems With Applications. 41: 3134-3142. DOI: 10.1016/j.eswa.2013.10.046  0.96
2014 Yu Y, Pedrycz W, Miao D. Multi-label classification by exploiting label correlations Expert Systems With Applications. 41: 2989-3004. DOI: 10.1016/j.eswa.2013.10.030  0.96
2014 Pedrycz W. Allocation of information granularity in optimization and decision-making models: Towards building the foundations of Granular Computing European Journal of Operational Research. 232: 137-145. DOI: 10.1016/j.ejor.2012.03.038  0.96
2014 Zaniewski K, Pedrycz W. A hybrid optimization approach to conformance testing of finite automata Applied Soft Computing Journal. 23: 91-103. DOI: 10.1016/j.asoc.2014.05.018  0.96
2014 Russo B, Succi G, Pedrycz W. Mining system logs to learn error predictors: a case study of a telemetry system Empirical Software Engineering. 20: 879-927. DOI: 10.1007/s10664-014-9303-2  0.96
2014 Rajati MR, Khaloozadeh H, Pedrycz W. Fuzzy logic and self-referential reasoning: A comparative study with some new concepts Artificial Intelligence Review. 41: 331-357. DOI: 10.1007/s10462-011-9311-1  0.96
2014 Portmann E, Pedrycz W. Fuzzy web knowledge aggregation, representation, and reasoning for online privacy and reputation management Intelligent Systems Reference Library. 54: 89-105. DOI: 10.1007/978-3-642-39739-4_5  0.96
2014 Homenda W, Pedrycz W. Automatic data understanding a linguistic tool for granular cognitive maps designing Advances in Intelligent Systems and Computing. 322: 217-228. DOI: 10.1007/978-3-319-11313-5_21  0.96
2014 Castillo O, Melin P, Pedrycz W, Kacprzyk J. Recent Advances on Hybrid Approaches for Designing Intelligent Systems Studies in Computational Intelligence. 551. DOI: 10.1007/978-3-319-05170-3  0.96
2014 Gacek A, Pedrycz W. ECG signal analysis, classification, and interpretation: A framework of computational intelligence Ecg Signal Processing, Classification and Interpretation: a Comprehensive Framework of Computational Intelligence. 47-77. DOI: 10.1007/978-0-85729-868-3_3  0.96
2014 Bortolan G, Christov I, Pedrycz W. Hyperellipsoidal classifier for beat classification in ECG signals Ecg Signal Processing, Classification and Interpretation: a Comprehensive Framework of Computational Intelligence. 219-236. DOI: 10.1007/978-0-85729-868-3_10  0.96
2014 Gacek A, Pedrycz W. ECG signal processing, classification and interpretation: A comprehensive framework of computational intelligence Ecg Signal Processing, Classification and Interpretation: a Comprehensive Framework of Computational Intelligence. 1-278. DOI: 10.1007/978-0-85729-868-3  0.96
2014 Aliev R, Pedrycz W, Zeinalova LM, Huseynov OH. Decision making with second-order imprecise probabilities International Journal of Intelligent Systems. 29: 137-160. DOI: 10.1002/int.21630  0.96
2014 Guo P, Pedrycz W. Preface Studies in Computational Intelligence. 502.  0.96
2013 Song M, Pedrycz W. Granular neural networks: concepts and development schemes. Ieee Transactions On Neural Networks and Learning Systems. 24: 542-53. PMID 24808376 DOI: 10.1109/TNNLS.2013.2237787  1
2013 Yao JT, Vasilakos AV, Pedrycz W. Granular computing: Perspectives and challenges Ieee Transactions On Cybernetics. 43: 1977-1989. PMID 23757594 DOI: 10.1109/TSMCC.2012.2236648  0.96
2013 Pedrycz W, Al-Hmouz R, Morfeq A, Balamash A. The design of free structure granular mappings: the use of the principle of justifiable granularity. Ieee Transactions On Cybernetics. 43: 2105-13. PMID 23757519 DOI: 10.1109/TCYB.2013.2240384  0.96
2008 Pedrycz W, Rai P. A multifaceted perspective at data analysis: a study in collaborative intelligent agents. Ieee Transactions On Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the Ieee Systems, Man, and Cybernetics Society. 38: 1062-72. PMID 18632397 DOI: 10.1109/TSMCB.2008.925728  0.96
2005 Li D, Pedrycz W, Pizzi NJ. Fuzzy wavelet packet based feature extraction method and its application to biomedical signal classification. Ieee Transactions On Bio-Medical Engineering. 52: 1132-9. PMID 15977743 DOI: 10.1109/TBME.2005.848377  0.96
2004 Pedrycz W, Breuer A, Pizzi NJ. Genetic design of feature spaces for pattern classifiers. Artificial Intelligence in Medicine. 32: 115-25. PMID 15364095 DOI: 10.1016/j.artmed.2004.01.005  0.96
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