Approximate reasoning is a key motivation in fuzzy sets and possibility theory. This text offers an overview 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.
Edited by:
J.C. Bezdek, Didier Dubois, Henri Prade, etc. Imprint: Kluwer Academic Publishers Country of Publication: United States Edition: 1999 ed. Volume: 5 Dimensions:
Height: 235mm,
Width: 155mm,
Spine: 30mm
Weight: 2.050kg ISBN:9780792385844 ISBN 10: 0792385845 Series:The Handbooks of Fuzzy Sets Pages: 514 Publication Date:31 July 1999 Audience:
College/higher education
,
Professional and scholarly
,
Further / Higher Education
,
Undergraduate
Format:Hardback Publisher's Status: Active
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.