1. Edition - January 2005
119.- Euro
2005. 424 Pages, Hardcover
- Practical Approach Book -
ISBN-10: 0-471-38859-9
ISBN-13: 978-0-471-38859-3 - John Wiley & Sons






Sample Chapter

Short description
Expert 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. It provides a general discussion of expert systems and the basic fuzzy math required to understand them.

From the contents
Preface.

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.