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OverviewApproximate 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. Full Product DetailsAuthor: J.C. Bezdek , Didier Dubois , Henri Prade , etc.Publisher: Springer Imprint: Springer Edition: 1999 ed. Volume: 5 Dimensions: Width: 15.50cm , Height: 3.00cm , Length: 23.50cm Weight: 2.050kg ISBN: 9780792385844ISBN 10: 0792385845 Pages: 514 Publication Date: 31 July 1999 Audience: College/higher education , Professional and scholarly , Postgraduate, Research & Scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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