Fuzzy Sets in Approximate Reasoning and Information Systems (Paperback, Softcover reprint of the original 1st ed. 1999)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	The Handbooks of Fuzzy Sets, 5
Release date:	November 2012
First published:	1999
Editors:	J.C. Bezdek • Didier Dubois • Henri Prade
Dimensions:	235 x 155 x 28mm (L x W x T)
Format:	Paperback
Pages:	514
Edition:	Softcover reprint of the original 1st ed. 1999
ISBN-13:	978-1-4613-7390-2
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction Books > Science & Mathematics > Mathematics > Mathematical foundations > General Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	1-4613-7390-5
Barcode:	9781461373902

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