Fuzzy Expert Systems and Fuzzy Reasoning

Front Cover
John Wiley & Sons, Feb 22, 2005 - Computers - 424 pages
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!
 

Contents

1 Introduction
1
2 RuleBased Systems Overview
15
3 Fuzzy Logic Fuzzy Sets and Fuzzy Numbers I
29
4 Fuzzy Logic Fuzzy Sets and Fuzzy Numbers II
57
5 Combining Uncertainties
85
6 Inference in an Expert System I
99
7 Inference in a Fuzzy Expert System II Modification of Data and Truth Values
115
8 Resolving Contradictions Possibility and Necessity
141
11 Running and Debugging Fuzzy Expert Systems I Parallel Programs
181
12 Running and Debugging Expert Systems II Sequential RuleFiring
199
13 Solving What? Problems when the Answer is Expressed in Words
219
14 Programs that Can Learn from Experience
243
15 Running OnLine in RealTime
257
Appendix
275
Answers
377
References
399

9 Expert System Shells and the Integrated Development Environment IDE
151
10 Simple Example Programs
159

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Page 9 - Rules have the form of an if-then statement, where the if part is called the antecedent and the then part is called the consequent.

About the author (2005)

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.

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