Fuzzy Expert Systems and Fuzzy Reasoning
Published on 18. January 2005
Book
Hardback
424 pages
978-0-471-38859-3 (ISBN)
Description
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.
More details
Product info
gebunden
Edition
1. Auflage
Language
English
Place of publication
United States
Publishing group
John Wiley & Sons Inc
Target group
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Illustrations
Photos: 0 B&W, 0 Color; Drawings: 0 B&W, 0 Color
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 27 mm
Weight
798 gr
ISBN-13
978-0-471-38859-3 (9780471388593)
Schweitzer Classification
Other editions
Additional editions
William Siler | James J. Buckley
Fuzzy Expert Systems and Fuzzy Reasoning
E-Book
02/2005
Wiley
€152.99
Available for download
Persons
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.
Content
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.