| Description |
xvi, 405 pages : illustrations ; 24 cm |
| Contents |
1. Introduction -- 2. Rule-based systems : overview -- 3. Fuzzy logic, fuzzy sets, and fuzzy numbers : I -- 4. Fuzzy logic, fuzzy sets, and fuzzy numbers : II -- 5. Combining uncertainties -- 6. Inference in an expert system I -- 7. Inference in a fuzzy expert system II : modification of data and truth values -- 8. Resolving contradictions : possibility and necessity -- 9. Expert system shells and the integrated development environment (IDE) -- 10. Simple example programs -- 11. Running and debugging fuzzy expert systems I : parallel programs -- 12. Running and debugging expert systems II : sequential rule-firing -- 13. Solving "what?" problems when the answer is expressed in words -- 14. Programs that can learn from experience -- 15. Running on-line in real-time |
| Summary |
"Fuzzy Expert Systems and Fuzzy Reasoning, with its presentation of both theory and application, is a textbook for graduate and upper-level undergraduate students. In addition, this is essential reading for program designers and researchers in fuzzy sets, fuzzy logic, computer science, and artificial intelligence."--BOOK JACKET |
| Notes |
Formerly CIP. Uk |
| Bibliography |
Includes bibliographical references (pages 399-402) and index |
| Subject |
Expert systems (Computer science)
|
|
Fuzzy systems.
|
| Author |
Buckley, James J., 1936-
|
| LC no. |
2004049166 |
| ISBN |
0471388599 acid-free |
|
