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Record Nr. |
UNINA9911019469103321 |
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Titolo |
Handbook of granular computing / / edited by Witold Pedrycz, Andrzej Skowron, Vladik Kreinovich |
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Pubbl/distr/stampa |
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Chichester, West Sussex ; ; Hoboken, NJ, : John Wiley & Sons, c2008 |
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ISBN |
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9786612686177 |
9781282686175 |
1282686178 |
9780470724163 |
0470724161 |
9780470724156 |
0470724153 |
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Descrizione fisica |
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1 online resource (1150 p.) |
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Classificazione |
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Altri autori (Persone) |
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PedryczWitold <1953-> |
SkowronAndrzej |
KreinovichVladik |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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- |
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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 |
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Sommario/riassunto |
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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 |
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