LEADER 05324nam 22006254a 450 001 9910830243303321 005 20170815111214.0 010 $a1-282-68617-8 010 $a9786612686177 010 $a0-470-72416-1 010 $a0-470-72415-3 035 $a(CKB)1000000000555542 035 $a(EBL)366782 035 $a(OCoLC)476201856 035 $a(SSID)ssj0000167632 035 $a(PQKBManifestationID)11155413 035 $a(PQKBTitleCode)TC0000167632 035 $a(PQKBWorkID)10177331 035 $a(PQKB)11032963 035 $a(MiAaPQ)EBC366782 035 $a(PPN)15234182X 035 $a(EXLCZ)991000000000555542 100 $a20080118d2008 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aHandbook of granular computing$b[electronic resource] /$fedited by Witold Pedrycz, Andrzej Skowron, Vladik Kreinovich 210 $aChichester, West Sussex ;$aHoboken, NJ $cJohn Wiley & Sons$dc2008 215 $a1 online resource (1150 p.) 300 $aDescription based upon print version of record. 311 $a0-470-03554-4 320 $aIncludes bibliographical references and index. 327 $aHandbook of granular computing; Contents; Preface; Foreword; Biographies; Part One Fundamentals and Methodology of Granular Computing Based on Interval Analysis, Fuzzy Sets and Rough Sets; 1 Interval Computation as an Important Part of Granular Computing: An Introduction; 2 Stochastic Arithmetic as a Model of Granular Computing; 3 Fundamentals of Interval Analysis and Linkages to Fuzzy Set Theory; 4 Interval Methods for Non-Linear Equation Solving Applications; 5 Fuzzy Sets as a User-Centric Processing Framework of Granular Computing; 6 Measurement and Elicitation of Membership Functions 327 $a7 Fuzzy Clustering as a Data-Driven Development Environment for Information Granules8 Encoding and Decoding of Fuzzy Granules; 9 Systems of Information Granules; 10 Logical Connectives for Granular Computing; 11 Calculi of Information Granules. Fuzzy Relational Equations; 12 Fuzzy Numbers and Fuzzy Arithmetic; 13 Rough-Granular Computing; 14 Wisdom Granular Computing; 15 Granular Computing for Reasoning about Ordered Data: The Dominance-Based Rough Set Approach; 16 A Unified Approach to Granulation of Knowledge and Granular Computing Based on Rough Mereology: A Survey 327 $a17 A Unified Framework of Granular Computing18 Quotient Spaces and Granular Computing; 19 Rough Sets and Granular Computing: Toward Rough-Granular Computing; 20 Construction of Rough Information Granules; 21 Spatiotemporal Reasoning in Rough Sets and Granular Computing; Part Two Hybrid Methods and Models of Granular Computing; 22 A Survey of Interval-Valued Fuzzy Sets; 23 Measurement Theory and Uncertainty in Measurements: Application of Interval Analysis and Fuzzy Sets Methods; 24 Fuzzy Rough Sets: From Theory into Practice; 25 On Type 2 Fuzzy Sets as Granular Models for Words 327 $a26 Design of Intelligent Systems with Interval Type-2 Fuzzy Logic27 Theoretical Aspects of Shadowed Sets; 28 Fuzzy Representations of Spatial Relations for Spatial Reasoning; 29 Rough-Neural Methodologies in Granular Computing; 30 Approximation and Perception in Ethology-Based Reinforcement Learning; 31 Fuzzy Linear Programming; 32 A Fuzzy Regression Approach to Acquisition of Linguistic Rules; 33 Fuzzy Associative Memories and Their Relationship to Mathematical Morphology; 34 Fuzzy Cognitive Maps; Part Three Applications and Case Studies 327 $a35 Rough Sets and Granular Computing in Behavioral Pattern Identification and Planning36 Rough Sets and Granular Computing in Hierarchical Learning; 37 Outlier and Exception Analysis in Rough Sets and Granular Computing; 38 Information Access and Retrieval; 39 Granular Computing in Medical Informatics; 40 Eigen Fuzzy Sets and Image Information Retrieval; 41 Rough Sets and Granular Computing in Dealing with Missing Attribute Values; 42 Granular Computing in Machine Learning and Data Mining 327 $a43 On Group Decision Making, Consensus Reaching, Voting, and Voting Paradoxes under Fuzzy Preferences and a Fuzzy Majority: A Survey and a Granulation Perspective 330 $aAlthough the notion is a relatively recent one, the notions and principles of Granular Computing (GrC) have appeared in a different guise in many related fields including granularity in Artificial Intelligence, interval computing, cluster analysis, quotient space theory and many others. Recent years have witnessed a renewed and expanding interest in the topic as it begins to play a key role in bioinformatics, e-commerce, machine learning, security, data mining and wireless mobile computing when it comes to the issues of effectiveness, robustness and uncertainty. The Handbook of Granular C 606 $aGranular computing$vHandbooks, manuals, etc 615 0$aGranular computing 676 $a006.3 686 $a54.51$2bcl 701 $aPedrycz$b Witold$f1953-$021029 701 $aSkowron$b Andrzej$0895878 701 $aKreinovich$b Vladik$0117742 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830243303321 996 $aHandbook of granular computing$94102162 997 $aUNINA