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Handbook of granular computing [[electronic resource] /] / edited by Witold Pedrycz, Andrzej Skowron, Vladik Kreinovich



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Titolo: Handbook of granular computing [[electronic resource] /] / edited by Witold Pedrycz, Andrzej Skowron, Vladik Kreinovich Visualizza cluster
Pubblicazione: Chichester, West Sussex ; ; Hoboken, NJ, : John Wiley & Sons, c2008
Descrizione fisica: 1 online resource (1150 p.)
Disciplina: 006.3
Soggetto topico: Granular computing
Classificazione: 54.51
Altri autori: PedryczWitold <1953->  
SkowronAndrzej  
KreinovichVladik  
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Handbook 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
7 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
17 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
26 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
35 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
43 On Group Decision Making, Consensus Reaching, Voting, and Voting Paradoxes under Fuzzy Preferences and a Fuzzy Majority: A Survey and a Granulation Perspective
Sommario/riassunto: Although 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
Titolo autorizzato: Handbook of granular computing  Visualizza cluster
ISBN: 1-282-68617-8
9786612686177
0-470-72416-1
0-470-72415-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910830243303321
Lo trovi qui: Univ. Federico II
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