Ebook: Fuzzy Sets in Approximate Reasoning and Information Systems
Author: Didier Dubois Henri Prade Jim Bezdek (auth.) James C. Bezdek Didier Dubois Henri Prade (eds.)
- Tags: Mathematical Logic and Foundations, Artificial Intelligence (incl. Robotics), Management of Computing and Information Systems, Data Structures Cryptology and Information Theory
- Series: The Handbooks of Fuzzy Sets Series 5
- Year: 1999
- Publisher: Springer US
- Edition: 1
- Language: English
- pdf
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.
Content:
Front Matter....Pages i-xv
Introduction: Fuzzy Sets in Approximate Reasoning and Intelligent Information Systems Technology....Pages 1-13
Front Matter....Pages 15-15
Fuzzy Sets and Possibility Theory in Approximate and Plausible Reasoning....Pages 15-190
Weighted Inference Systems....Pages 191-241
Closure Operators in Fuzzy Set Theory....Pages 243-278
Front Matter....Pages 279-279
Learning Fuzzy Decision Rules....Pages 279-304
Neuro-Fuzzy Methods in Fuzzy Rule Generation....Pages 305-334
Merging Fuzzy Information....Pages 335-401
Front Matter....Pages 403-403
Fuzzy Databases....Pages 403-468
Fuzzy Set Techniques in Information Retrieval....Pages 469-510
Content:
Front Matter....Pages i-xv
Introduction: Fuzzy Sets in Approximate Reasoning and Intelligent Information Systems Technology....Pages 1-13
Front Matter....Pages 15-15
Fuzzy Sets and Possibility Theory in Approximate and Plausible Reasoning....Pages 15-190
Weighted Inference Systems....Pages 191-241
Closure Operators in Fuzzy Set Theory....Pages 243-278
Front Matter....Pages 279-279
Learning Fuzzy Decision Rules....Pages 279-304
Neuro-Fuzzy Methods in Fuzzy Rule Generation....Pages 305-334
Merging Fuzzy Information....Pages 335-401
Front Matter....Pages 403-403
Fuzzy Databases....Pages 403-468
Fuzzy Set Techniques in Information Retrieval....Pages 469-510
....