Witold Pedrycz - researchr alias

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2011

Study of select items in different data sources by groupingAnimesh Adhikari, Pralhad Ramachandrarao, Witold Pedrycz. kais, 27(1):23-43, 2011. [doi]

Granular Instances Selection for Fuzzy ModelingSharifah Sakinah Syed Ahmad, Witold Pedrycz. mldm 2011: 99-111 [doi]

Type-2 fuzzy neural networks with fuzzy clustering and differential evolution optimizationRafik A. Aliev, Witold Pedrycz, Babek Guirimov, Rashad R. Aliev, Umit Ilhan, Mustafa Babagil, Sadik Mammadli. isci, 181(9):1591-1608, 2011. [doi]

Use of a fuzzy granulation-degranulation criterion for assessing cluster validitySanghamitra Bandyopadhyay, Sriparna Saha, Witold Pedrycz. fss, 170(1):22-42, 2011. [doi]

Particle Competition and Cooperation for Uncovering Network Overlap Community StructureFabricio A. Breve, Liang Zhao, Marcos G. Quiles, Witold Pedrycz, Jiming Liu. isnn 2011: 426-433 [doi]

Report on IFSA Workshop, Beijing, July 4-5, 2010Guoqing Chen, Witold Pedrycz. fss, 168(1):102-103, 2011. [doi]

Granular Data Regression with Neural NetworksMario G. C. A. Cimino, Beatrice Lazzerini, Francesco Marcelloni, Witold Pedrycz. wilf 2011: 172-179 [doi]

Fuzzy Logic and Applications - 9th International Workshop, WILF 2011, Trani, Italy, August 29-31,2011. ProceedingsAnna Maria Fanelli, Witold Pedrycz, Alfredo Petrosino, editors, Volume 6857 of Lecture Notes in Computer Science, Springer, 2011. [doi]

Conditional fuzzy clustering for blind channel equalizationSoowhan Han, Sungdae Park, Witold Pedrycz. asc, 11(2):2777-2786, 2011. [doi]

Measuring relevance between discrete and continuous features based on neighborhood mutual informationQinghua Hu, Lei Zhang, David Zhang, Wei Pan, Shuang An, Witold Pedrycz. eswa, 38(9):10737-10750, 2011. [doi]

Hybrid optimization with improved tabu searchM. Hadi Mashinchi, Mehmet A. Orgun, Witold Pedrycz. asc, 11(2):1993-2006, 2011. [doi]

A Tabu-Harmony Search-Based Approach to Fuzzy Linear RegressionM. Hadi Mashinchi, Mehmet A. Orgun, M. Mashinchi, Witold Pedrycz. tfs, 19(3):432-448, 2011. [doi]

Optimized fuzzy PD cascade controller: A comparative analysis and designSung-Kwun Oh, Han-Jong Jang, Witold Pedrycz. simpra, 19(1):181-195, 2011. [doi]

A comparative experimental study of type-1/type-2 fuzzy cascade controller based on genetic algorithms and particle swarm optimizationSung-Kwun Oh, Han-Jong Jang, Witold Pedrycz. eswa, 38(9):11217-11229, 2011. [doi]

Polynomial-based radial basis function neural networks (P-RBF NNs) realized with the aid of particle swarm optimizationSung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz, Byoung-Jun Park. fss, 163(1):54-77, 2011. [doi]

Analytic Hierarchy Process (AHP) in Group Decision Making and its Optimization With an Allocation of Information GranularityWitold Pedrycz, Mingli Song. tfs, 19(3):527-539, 2011. [doi]

Recent advances on machine learning and CyberneticsWitold Pedrycz, Daniel S. Yeung, Xizhao Wang. soco, 15(6):1039, 2011. [doi]

Introducing WIREs data mining and knowledge discoveryWitold Pedrycz. widm, 1(1):1, 2011. [doi]

From Fuzzy Models to Granular Fuzzy ModelsWitold Pedrycz. wilf 2011: 75-82 [doi]

A model of job satisfaction for collaborative development processesWitold Pedrycz, Barbara Russo, Giancarlo Succi. jss, 84(5):739-752, 2011. [doi]

Risk evaluation through decision-support architectures in threat assessment and countering terrorismWitold Pedrycz, S. C. Chen, Stuart H. Rubin, G. Lee. asc, 11(1):621-631, 2011. [doi]

An efficient accelerator for attribute reduction from incomplete data in rough set frameworkYuhua Qian, Jiye Liang, Witold Pedrycz, Chuangyin Dang. PR, 44(8):1658-1670, 2011. [doi]

Real-time fuzzy regression analysis: A convex hull approachAzizul Azhar Ramli, Junzo Watada, Witold Pedrycz. eor, 210(3):606-617, 2011. [doi]

Shadowed sets in the characterization of rough-fuzzy clusteringJie Zhou, Witold Pedrycz, Duoqian Miao. PR, 44(8):1738-1749, 2011. [doi]

Analysis of alternative objective functions for attribute reduction in complete decision tablesJie Zhou, Duoqian Miao, Witold Pedrycz, Hongyun Zhang. soco, 15(8):1601-1616, 2011. [doi]

2010

Developing Multi-Database Mining ApplicationsAnimesh Adhikari, Pralhad Ramachandrarao, Witold Pedrycz. Springer, 2010. [doi]

A Comparative Study of Genetic Algorithms, Particle Swarm Optimization, and Differential Evolution in Problem of Feature Selection through Structure RetentionSharifah Sakinah Syed Ahmad, Witold Pedrycz. gem 2010: 49-54

Preface to the special section on new trends on pattern recognition with fuzzy modelsOscar Castillo, Patricia Melin, Witold Pedrycz, Janusz Kacprzyk. fss, 161(1):1-2, 2010. [doi]

A Gradient-Descent-Based Approach for Transparent Linguistic Interface Generation in Fuzzy ModelsLong Chen, C. L. Philip Chen, Witold Pedrycz. tsmc, 40(5):1219-1230, 2010. [doi]

Realization of the conscience mechanism in CMOS implementation of winner-takes-all self-organizing neural networksRafal Dlugosz, Tomasz Talaska, Witold Pedrycz, Ryszard Wojtyna. tnn, 21(6):961-971, 2010. [doi]

lukasiewicz fuzzy logic networks and their ultra low power hardware implementationRafal Dlugosz, Witold Pedrycz. ijon, 73(7-9):1222-1234, 2010. [doi]

Sparse optimization using a mixed GA-PSO optimization frameworkRuijun Dong, Witold Pedrycz. fskd 2010: 1862-1866 [doi]

The Ninth International Conference on Machine Learning and Applications, ICMLA 2010, Washington, DC, USA, 12-14 December 2010Sorin Draghici, Taghi M. Khoshgoftaar, Vasile Palade, Witold Pedrycz, M. Arif Wani, Xingquan Zhu, editors, IEEE Computer Society, 2010.

Proximity fuzzy clustering and its application to time series clustering and predictionDaniel Graves, Witold Pedrycz. isda 2010: 49-54 [doi]

Kernel-based fuzzy clustering and fuzzy clustering: A comparative experimental studyDaniel Graves, Witold Pedrycz. fss, 161(4):522-543, 2010. [doi]

The Key Theorem of Learning Theory Based on Sugeno Measure and Fuzzy Random SamplesMinghu Ha, Chao Wang, Witold Pedrycz. lsms 2010: 241-249 [doi]

Selecting Discrete and Continuous Features Based on Neighborhood Decision Error MinimizationQinghua Hu, Witold Pedrycz, Daren Yu, Jun Lang. tsmc, 40(1):137-150, 2010. [doi]

Gaussian kernel based fuzzy rough sets: Model, uncertainty measures and applicationsQinghua Hu, Lei Zhang 0006, Degang Chen, Witold Pedrycz, Daren Yu. ijar, 51(4):453-471, 2010. [doi]

Adaptive learning of ordinal-numerical mappings through fuzzy clustering for the objects of mixed featuresMahnhoon Lee, Witold Pedrycz. fss, 161(4):564-577, 2010. [doi]

Shadowed c-means: Integrating fuzzy and rough clusteringSushmita Mitra, Witold Pedrycz, Bishal Barman. PR, 43(4):1282-1291, 2010. [doi]

Polynomial-based radial basis function neural networks (P-RBF NNs) and their application to pattern classificationByoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh. apin, 32(1):27-46, 2010. [doi]

Fuzzy clustering with semantically distinct families of variables: Descriptive and predictive aspectsWitold Pedrycz, Andrzej Bargiela. prl, 31(13):1952-1958, 2010. [doi]

Towards a New Generation of Indicators for Consensus Reaching Support Using Type-2 Fuzzy SetsWitold Pedrycz, Janusz Kacprzyk, Slawomir Zadrozny. ipmu 2010: 241-250 [doi]

Fuzzy Clustering With ViewpointsWitold Pedrycz, Vincenzo Loia, Sabrina Senatore. tfs, 18(2):274-284, 2010. [doi]

Data compactification and computing with wordsWitold Pedrycz, Stuart H. Rubin. eaai, 23(3):346-356, 2010. [doi]

Representation and classification of high-dimensional biomedical spectral dataWitold Pedrycz, D. J. Lee, Nicolino J. Pizzi. paa, 13(4):423-436, 2010. [doi]

The design of cognitive maps: A study in synergy of granular computing and evolutionary optimizationWitold Pedrycz. eswa, 37(10):7288-7294, 2010. [doi]

Aggregating multiple classification results using fuzzy integration and stochastic feature selectionNick J. Pizzi, Witold Pedrycz. ijar, 51(8):883-894, 2010. [doi]

Positive approximation: An accelerator for attribute reduction in rough set theoryYuhua Qian, Jiye Liang, Witold Pedrycz, Chuangyin Dang. ai, 174(9-10):597-618, 2010. [doi]

A fuzzy ensemble of parallel polynomial neural networks with information granules formed by fuzzy clusteringSeok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz. kbs, 23(3):202-219, 2010. [doi]

The Refinement of Models With the Aid of the Fuzzy k -Nearest Neighbors ApproachSeok-Beom Roh, Tae-Chon Ahn, Witold Pedrycz. tim, 59(3):604-615, 2010. [doi]

The design methodology of radial basis function neural networks based on fuzzy K-nearest neighbors approachSeok-Beom Roh, Tae-Chon Ahn, Witold Pedrycz. fss, 161(13):1803-1822, 2010. [doi]

The development of fuzzy radial basis function neural networks based on the concept of information ambiguitySeok-Beom Roh, Su-Chong Joo, Witold Pedrycz, Sung-Kwun Oh. ijon, 73(13-15):2464-2477, 2010. [doi]

Fuzzy Monte Carlo Simulation and Risk Assessment in ConstructionNaimeh Sadeghi, Aminah Robinson Fayek, Witold Pedrycz. cacie, 25(4):238-252, 2010. [doi]

A divide and conquer method for learning large Fuzzy Cognitive MapsWojciech Stach, Lukasz A. Kurgan, Witold Pedrycz. fss, 161(19):2515-2532, 2010. [doi]

Perspectives on Cognitive Computing and ApplicationsYingxu Wang, Witold Pedrycz, George Baciu, Ping Chen, Guoyin Wang, Yiyu Yao. ijssci, 2(4):32-44, 2010. [doi]

Recourse-Based Facility-Location Problems in Hybrid Uncertain EnvironmentShuming Wang, Junzo Watada, Witold Pedrycz. tsmc, 40(4):1176-1187, 2010. [doi]

A Resilient and Scalable Flocking Scheme in Autonomous Vehicular NetworksNaixue Xiong, Athanasios V. Vasilakos, Laurence Tianruo Yang, Witold Pedrycz, Yan Zhang, Yingshu Li. monet, 15(1):126-136, 2010. [doi]

2009

Fundamentals of a Fuzzy-Logic-Based Generalized Theory of StabilityRafik A. Aliev, Witold Pedrycz. tsmc, 39(4):971-988, 2009. [doi]

Evolutionary Design of Intelligent Systems in Modeling, Simulation and ControlOscar Castillo, Witold Pedrycz, Janusz Kacprzyk, editors, Volume 257 of Studies in Computational Intelligence, Springer, 2009. [doi]

Uninorm Based Fuzzy Network for Tree Data StructuresAngelo Ciaramella, Witold Pedrycz, Alfredo Petrosino. wilf 2009: 77-84 [doi]

Using multilayer perceptrons as receptive fields in the design of neural networksMario G. C. A. Cimino, Witold Pedrycz, Beatrice Lazzerini, Francesco Marcelloni. ijon, 72(10-12):2536-2548, 2009. [doi]

Multivariate Segmentation of Time Series with Differential EvolutionDaniel Graves, Witold Pedrycz. eusflat 2009: 1108-1113 [doi]

Fuzzy prediction architecture using recurrent neural networksDaniel Graves, Witold Pedrycz. ijon, 72(7-9):1668-1678, 2009. [doi]

The expected value models on Sugeno measure spaceMinghu Ha, Hong Zhang, Witold Pedrycz, Hongjie Xing. ijar, 50(7):1022-1035, 2009. [doi]

The theoretical fundamentals of learning theory based on fuzzy complex random samplesMinghu Ha, Witold Pedrycz, Lifang Zheng. fss, 160(17):2429-2441, 2009. [doi]

Modified fuzzy c-means and Bayesian equalizer for nonlinear blind channelSoowhan Han, Imgeun Lee, Witold Pedrycz. asc, 9(3):1090-1096, 2009. [doi]

Foundations of Computational Intelligence, Volume 1: Learning and ApproximationAboul Ella Hassanien, Ajith Abraham, Athanasios V. Vasilakos, Witold Pedrycz, editors, Volume 201 of Studies in Computational Intelligence, Springer, 2009. [doi]

Kernelized Fuzzy Rough SetsQinghua Hu, Degang Chen, Daren Yu, Witold Pedrycz. rskt 2009: 304-311 [doi]

The fuzzy C-means algorithm with fuzzy P-mode prototypes for clustering objects having mixed featuresMahnhoon Lee, Witold Pedrycz. fss, 160(24):3590-3600, 2009. [doi]

Logic-based fuzzy networks: A study in system modeling with triangular norms and uninormsXiaofeng Liang, Witold Pedrycz. fss, 160(24):3475-3502, 2009. [doi]

Axiomatic Fuzzy Set Theory and Its ApplicationsXiaodong Liu, Witold Pedrycz. Volume 244 of Studies in Fuzziness and Soft Computing, Springer, 2009. [doi]

The Development of Fuzzy Rough Sets with the Use of Structures and Algebras of Axiomatic Fuzzy SetsXiaodong Liu, Witold Pedrycz, Tianyou Chai, Mingli Song. tkde, 21(3):443-462, 2009. [doi]

Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern RecognitionPatricia Melin, Janusz Kacprzyk, Witold Pedrycz, editors, Volume 256 of Studies in Computational Intelligence, Springer, 2009. [doi]

The design of a fuzzy cascade controller for ball and beam system: A study in optimization with the use of parallel genetic algorithmsSung-Kwun Oh, Han-Jong Jang, Witold Pedrycz. eaai, 22(2):261-271, 2009. [doi]

Design of optimized fuzzy cascade controllers by means of Hierarchical Fair Competition-based Genetic AlgorithmsSung-Kwun Oh, Seung-Hyun Jung, Witold Pedrycz. eswa, 36(9):11641-11651, 2009. [doi]

Hybrid fuzzy set-based polynomial neural networks and their development with the aid of genetic optimization and information granulationSung-Kwun Oh, Witold Pedrycz, Seok-Beom Roh. asc, 9(3):1068-1089, 2009. [doi]

A Design of Genetically Oriented Fuzzy Relation Neural Networks (FrNNs) Based on the Fuzzy Polynomial Inference SchemeByoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh. tfs, 17(6):1310-1323, 2009. [doi]

Granular Neural Networks and Their Development Through Context-Based Clustering and Adjustable Dimensionality of Receptive FieldsHo-Sung Park, Witold Pedrycz, Sung-Kwun Oh. tnn, 20(10):1604-1616, 2009. [doi]

From fuzzy sets to shadowed sets: Interpretation and computingWitold Pedrycz. ijis, 24(1):48-61, 2009. [doi]

Metastructural facets of granular computingWitold Pedrycz. ijkesdp, 1(1):11-25, 2009. [doi]

Computational Intelligence - The Quests and OpportunitiesWitold Pedrycz. ijcci 2009: 11-11

Logic-oriented neural networks for fuzzy neurocomputingWitold Pedrycz, Rafik A. Aliev. ijon, 73(1-3):10-23, 2009. [doi]

Identifying core sets of discriminatory features using particle swarm optimizationWitold Pedrycz, B. J. Park, Nicolino J. Pizzi. eswa, 36(3):4610-4616, 2009. [doi]

Experience-consistent modeling: Regression and classification problemsWitold Pedrycz, Partab Rai. automatica, 45(2):449-455, 2009. [doi]

A Multifaceted Perspective at Data Analysis: A Study in Collaborative Intelligent AgentsWitold Pedrycz, Partab Rai. tsmc, 39(4):834-844, 2009. [doi]

Hierarchies of Architectures of Collaborative Computational IntelligenceWitold Pedrycz. ijssci, 1(1):18-31, 2009. [doi]

Discriminatory Components for Pattern ClassificationNick J. Pizzi, Witold Pedrycz. eusflat 2009: 748-753 [doi]

Real-time fuzzy switching regression analysis: a convex hull approachAzizul Azhar Ramli, Junzo Watada, Witold Pedrycz. iiwas 2009: 284-291 [doi]

Numeric Data to Information Granules and Computing with WordsStuart H. Rubin, Witold Pedrycz. SMC 2009: 2972-2978 [doi]

Editorial to the special issueAthanasios V. Vasilakos, Witold Pedrycz. taas, 4(4), 2009. [doi]

Fuzzy Random Facility Location Problems with RecourseShuming Wang, Junzo Watada, Witold Pedrycz. SMC 2009: 1846-1851 [doi]

A Doctrine of Cognitive Informatics (CI)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. FUIN, 90(3):203-228, 2009. [doi]

Value-at-Risk-Based Two-Stage Fuzzy Facility Location ProblemsShuming Wang, Junzo Watada, Witold Pedrycz. tii, 5(4):465-482, 2009. [doi]

Building Confidence-Interval-Based Fuzzy Random Regression ModelsJunzo Watada, Shuming Wang, Witold Pedrycz. tfs, 17(6):1273-1283, 2009. [doi]

The design of fuzzy information granules: Tradeoffs between specificity and experimental evidenceFusheng Yu, Witold Pedrycz. asc, 9(1):264-273, 2009. [doi]

2008

Soft Computing for Hybrid Intelligent SystemsOscar Castillo, Patricia Melin, Janusz Kacprzyk, Witold Pedrycz, editors, Volume 154 of Studies in Computational Intelligence, Springer, 2008.

Hybrid Artificial Intelligence Systems, Third International Workshop, HAIS 2008, Burgos, Spain, September 24-26, 2008. ProceedingsEmilio Corchado, Ajith Abraham, Witold Pedrycz, editors, Volume 5271 of Lecture Notes in Computer Science, Springer, 2008.

Phase Transition in SONFIS and SORSTHamed O. Ghaffari, Mostafa Sharifzadeh, Witold Pedrycz. rsctc 2008: 339-348 [doi]

A granular-oriented development of functional radial basis function neural networksWitold Pedrycz, Ho-Sung Park, Sung-Kwun Oh. ijon, 72(1-3):420-435, 2008. [doi]

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