Fuzzy Sets in Approximate Reasoning and Information Systems
Author:   J.C. Bezdek ,  Didier Dubois ,  Henri Prade ,  etc.
Publisher:   Springer
Edition:   1999 ed.
Volume:   5
ISBN:  

9780792385844


Pages:   514
Publication Date:   31 July 1999
Format:   Hardback
Availability:   In Print   Availability explained
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Fuzzy Sets in Approximate Reasoning and Information Systems


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Overview

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.

Full Product Details

Author:   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:  

9780792385844


ISBN 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   Availability explained
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 Contents

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.

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