Handbook of Granular Computing (eBook, PDF)

Redaktion: Pedrycz, Witold; Kreinovich, Vladik; Skowron, Andrzej

• Format: PDF

Produktbeschreibung

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 Computing offers a comprehensive reference source for the granular computing community, edited by and with contributions from leading experts in the field. * Includes chapters covering the foundations of granular computing, interval analysis and fuzzy set theory; hybrid methods and models of granular computing; and applications and case studies. * Divided into 5 sections: Preliminaries, Fundamentals, Methodology and Algorithms, Development of Hybrid Models and Applications and Case Studies. * Presents the flow of ideas in a systematic, well-organized manner, starting with the concepts and motivation and proceeding to detailed design that materializes in specific algorithms, applications and case studies. * Provides the reader with a self-contained reference that includes all pre-requisite knowledge, augmented with step-by-step explanations of more advanced concepts. The Handbook of Granular Computing represents a significant and valuable contribution to the literature and will appeal to a broad audience including researchers, students and practitioners in the fields of Computational Intelligence, pattern recognition, fuzzy sets and neural networks, system modelling, operations research and bioinformatics.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 1148
• Erscheinungstermin: 14. September 2008
• Englisch
• ISBN-13: 9780470724156
• Artikelnr.: 37298549

Autorenporträt

Witold Pedrycz is a Professor and Canada Research Chair (CRC) in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute of the Polish Academy of Sciences. He is actively pursuing research in Computational Intelligence, fuzzy modeling, knowledge discovery and data mining, fuzzy control including fuzzy controllers, pattern recognition, knowledge-based neural networks, relational computation, bioinformatics, and Software Engineering. He has published numerous papers in this area. He is also an author of 9 research monographs covering various aspects of Computational Intelligence and Software Engineering. Andrzej Skowron holds a Ph.D. degree in Mathematical Foundations of Computer Science from the University of Warsaw in Poland, Doctor of Science (Habilitation) degree in Mathematical Foundations of Computer Science from the University of Warsaw in Poland. In 1991 he received the Scientific Title of Professor. Andrzej Skowron is the author and co-author of more than 280 scientific publications, 15 edited books and several special issues of international journals. Vladik Kreinovich Department of Computer Science University of Texas. He received his M.S. in Mathematics and Computer Science from St. Petersburg University, Russia, in 1974, and Ph.D. from the Institute of Mathematics, Soviet Academy of Sciences, Published 6 books and more than 600 papers. Member of the editorial board of the international journal "Reliable Computing" (formerly, "Interval Computations"), and several other journals. Co-maintainer of the international website on interval computations.

Inhaltsangabe

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 Granules 8 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 Computing 18 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 Logic 27 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 Junzo Watada and Witold Pedrycz 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 Planning 36
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 44 FuzzJADE: A Framework
for Agent-Based FLCs 45 Granular Models for Time-Series Forecasting 46
Rough Clustering 47 Rough Document Clustering and The Internet 48 Rough and
Granular Case-Based Reasoning 49 Granulation in Analogy-Based
Classification 50 Approximation Spaces in Conflict Analysis: A Rough Set
Framework 51 Intervals in Finance and Economics: Bridge between Words and
Numbers, Language of Strategy 52 Granular Computing Methods in
Bioinformatics Index