Fuzzy Sets in Approximate Reasoning and Information Systems

By: James Bezdek (Editor), Didier Dubois (Editor), Henri Prade (Editor)

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Hardcover | 31 July 1999

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Hardcover
540 Pages

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24.13 x 16.51 x 3.81

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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.

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You Can Find This Book In

Non-Fiction Mathematics Mathematical Foundation Set Theory Computing & I.T.Computer Science Artificial Intelligence Expert Systems & Knowledge-Based Systems Philosophy Applied Mathematics Fuzzy Set Theory Mathematical Logic

Medicine Medicine in General Gardening Databases Business & Management Business Mathematics & Systems

Series Foreword
Contributing Authors
Introduction	p. 1
Reasoning
Fuzzy Sets and Possibility Theory in Approximate and Plausible Reasoning	p. 15
Weighted Inference Systems	p. 191
Closure Operators in Fuzzy set Theory	p. 243
Learning and Fusion
Learning Fuzzy Decision Rules	p. 279
Neuro-Fuzzy Methods in Fuzzy Rule Generation	p. 305
Merging Fuzzy Information	p. 335
Fuzzy Information Systems
Fuzzy Databases	p. 403
Fuzzy Set Techniques in Information Retrieval	p. 469
Summary	p. 501
References	p. 502
Table of Contents provided by Blackwell. All Rights Reserved.

Fuzzy Sets in Approximate Reasoning and Information Systems

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Hardcover

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