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＜電子ブック＞
Fuzzy Sets in Approximate Reasoning and Information Systems / edited by J.C. Bezdek, Didier Dubois, Henri Prade
(The Handbooks of Fuzzy Sets ; 5)

版	1st ed. 1999.
出版者	(New York, NY : Springer US : Imprint: Springer)
出版年	1999
本文言語	英語
大きさ	XV, 514 p : online resource
著者標目	Bezdek, J.C editor Dubois, Didier editor Prade, Henri editor SpringerLink (Online service)
件　名	LCSH:Mathematical logic LCSH:Artificial intelligence LCSH:Electronic data processing -- Management  全ての件名で検索 LCSH:Data structures (Computer science) LCSH:Information theory FREE:Mathematical Logic and Foundations FREE:Artificial Intelligence FREE:IT Operations FREE:Data Structures and Information Theory
一般注記	1 Fuzzy Sets and Possibility Theory in Approximate and Plausible Reasoning -- 2 Weighted Inference Systems -- 3 Closure Operators in Fuzzy set Theory -- 4 Learning Fuzzy Decision Rules -- 5 Neuro-Fuzzy Methods in Fuzzy Rule Generation -- 6 Merging Fuzzy Information -- 7 Fuzzy Databases -- 8 Fuzzy Set Techniques in Information Retrieval Approximate reasoning is a key motivation in fuzzy sets and possibility theory. This volume provides a coherent view of this field, and its impact on database research and information retrieval. First, the semantic foundations of approximate reasoning are presented. Special emphasis is given to the representation of fuzzy rules and specialized types of approximate reasoning. Then syntactic aspects of approximate reasoning are surveyed and the algebraic underpinnings of fuzzy consequence relations are presented and explained. The second part of the book is devoted to inductive and neuro-fuzzy methods for learning fuzzy rules. It also contains new material on the application of possibility theory to data fusion. The last part of the book surveys the growing literature on fuzzy information systems. Each chapter contains extensive bibliographical material. Fuzzy Sets in Approximate Reasoning and Information Systems is a major source of information for research scholars and graduate students in computer science and artificial intelligence, interested in human information processing HTTP:URL=https://doi.org/10.1007/978-1-4615-5243-7

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