Fuzzy Expert Systems and Fuzzy Reasoning

Coverage is accessible to practitioners and academic readers alike.
* Features end-of-chapter problems with answers provided in an appendix.
* Includes discussions of rule-based systems not available in any other book.
* Includes problem sets and tutorial programs available on the Wiley ftp site.Hier lernen Sie, Expertensysteme auf der Basis von Fuzzy Logic zu konstruieren, die sich für den praktischen Einsatz eignen. Expertensysteme werden zunächst allgemein definiert, und die zugrundeliegende Mathematik wird eingeführt. Regelbasierte Systeme werden gründlicher besprochen als in jedem anderen Buch mit ähnlichem Thema. Am Ende jedes Kapitels können Sie Ihren Wissensstand anhand von Übungsaufgaben überprüfen. Von einem zugehörigen ftp-Server können Sie Ergänzungsmaterial abrufen. Für Praktiker und Forscher aus dem akademischen Umfeld gleichermaßen geeignet! 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. WILLIAM SILER, of Southern Dynamic Systems, Inc., is a former academician, having served as chairman of the Biomedical Computer Science program at SUNY Downstate Medical Center, and as professor and chairman of the Biomathematics Department at the University of Alabama at Birmingham. For the past forty years, he has been developing scientific software tools for general use. He is now Senior Scientist at the Kemp-Carraway Heart Institute at Birmingham, Alabama.

JAMES J. BUCKLEY is Associate Professor of Mathematics at the University of Alabama in Birmingham. A prominent researcher in fuzzy mathematics, he has published over 200 papers and several books on the topic. The most advanced systems that can emulate human thought

Fuzzy Expert Systems and Fuzzy Reasoning presents new, cutting-edge theories that enable programmers to emulate human thought processes to solve real-life problems. This text begins with an overview and comparison of current approaches, including rule-based and neural net systems that programmers have developed to solve real-world problems. Next, the authors introduce readers to three key concepts that considerably advance both the power and the speed of conventional expert systems: nonprocedural data-driven languages; fuzzy systems theory (fuzzy logic, fuzzy sets, fuzzy numbers); and a language that allows statements to be executed either sequentially or in parallel, as opposed to conventional one-statement-at-a-time languages that presently dominate programming.

While providing a conceptual framework for fuzzy expert systems, the focus is on the development of skills for applications. In addition to the text, readers have access via an FTP site to the fuzzy expert system language FLOPS, which enables them to actually write and debug a fuzzy expert system. Moreover, tutorials and simplified examples help to show how abstract concepts of logic and reasoning are used for problem solving.

Special features include:
* An introduction to fuzzy mathematics that anyone with an understanding of basic algebra can follow
* Question sets with answers accompanying each chapter ensure that readers can apply their new knowledge to develop their own fuzzy expert systems
* An FTP site with a complete demonstration version of a fuzzy expert system, Integrated Development Environment

Fuzzy Expert Systems and Fuzzy Reasoning, with its expert presentation of both theory and application, is an excellent 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.