| 000 | 00991namuu2200289 a 4500 | |
| 001 | 000001070828 | |
| 005 | 20020419102706 | |
| 008 | 990604s1999 maua b 001 0 eng | |
| 010 | ▼a 99016664 | |
| 020 | ▼a 0792385845 (alk. paper) | |
| 040 | ▼a DLC ▼c DLC ▼d DLC ▼d 244002 | |
| 049 | 0 | ▼l 151119843 |
| 050 | 0 0 | ▼a QA76.76.E95 ▼b F8866 1999 |
| 082 | 0 0 | ▼a 006.3/3 ▼2 21 |
| 090 | ▼a 006.33 ▼b Fu996 | |
| 245 | 0 0 | ▼a Fuzzy sets in approximate reasoning and information systems / ▼c edited by James C. Bezdek, Didier Dubois, and Henri Prade. |
| 260 | ▼a Boston : ▼b Kluwer Academic, ▼c c1999. | |
| 300 | ▼a xv, 514 p. : ▼b ill. ; ▼c 25 cm. | |
| 440 | 4 | ▼a The handbooks of fuzzy sets series ; ▼v FSHS 5 |
| 504 | ▼a Includes bibliographical references and index. | |
| 650 | 0 | ▼a Expert systems (Computer science) |
| 650 | 0 | ▼a Reasoning. |
| 650 | 0 | ▼a Fuzzy sets. |
| 700 | 1 | ▼a Bezdek, James C. , ▼d 1939- |
| 700 | 1 | ▼a Dubois, Didier. |
| 700 | 1 | ▼a Prade, Henri M. |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 세종학술정보원/과학기술실(5층)/ | 청구기호 006.33 Fu996 | 등록번호 151119843 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
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.
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.
정보제공 :
목차
Series Foreword. Contributing Authors. Introduction. Part I: Reasoning. 1. Fuzzy Sets and Possibility Theory in Approximate and Plausible Reasoning; B. Bouchon-Meunier, et al. 2. Weighted Inference Systems; V. Novak. 3. Closure Operators in Fuzzy set Theory; L. Biacino, G. Gerla. Part II: Learning and Fusion. 4. Learning Fuzzy Decision Rules; B. Bouchon-Meunier, C. Marsala. 5. Neuro-Fuzzy Methods in Fuzzy Rule Generation; D. Nauck, R. Kruse. 6. Merging Fuzzy Information; D. Dubois, et al. Part III: Fuzzy Information Systems. 7. Fuzzy Databases; P. Bosc, et al. 8. Fuzzy Set Techniques in Information Retrieval; D.H. Kraft, et al. Summary. References
정보제공 :