Description
Book SynopsisExpert systems are computer programs, designed to make available some of the skills of an expert to non-experts. A fuzzy expert system uses a collection of fuzzy membership functions and rules, instead of Boolean logic, to reason about data. This book teaches the reader to construct fuzzy expert systems to solve real-world problems.
Table of ContentsPreface.
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.
Appendix.
Answers.
References.
Index.
