ENGLISH

Fuzzy Sets in Approximate Reasoning and Information Systems

By James C. Bezdek , Henri Prade , Didier Dubois , Henri Prade (eds.) , Jim Bezdek (auth.)

Book information

Publisher
Springer US
Year
1999
ISBN
978-1-4613-7390-2, 978-1-4615-5243-7
DOI
10.1007/978-1-4615-5243-7
Language
english
Format
PDF
Filesize
37 MB (38738907 bytes)
Series
The Handbooks of Fuzzy Sets Series 5
Edition
1
Pages
514\525
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Cryptology and Information TheoryMathematical Logic and Foundations; Artificial Int

Description

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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