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An Introduction to Fuzzy Logic and Fuzzy Sets 2002 Edition
Contributor(s): Buckley, James J. (Author), Eslami, Esfandiar (Author)

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 ISBN: 3790814474     ISBN-13: 9783790814477
Publisher: Physica-Verlag
OUR PRICE: $66.49  

Binding Type: Paperback - See All Available Formats & Editions
Published: January 2002
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Annotation: This book is to be the starting point for any curriculum in fuzzy systems in fields like computer science, mathematics, business/economics and engineering. It covers the basics leading to: fuzzy clustering, fuzzy pattern recognition, fuzzy database, fuzzy image processing, soft computing, fuzzy applications in operations research, fuzzy decision making, fuzzy rule based systems, fuzzy systems modeling, fuzzy mathematics. It is not a book designed for researchers - it is where you really learn the "basics" needed for any of the above-mentioned applications.

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Additional Information
BISAC Categories:
- Computers | Intelligence (ai) & Semantics
- Mathematics | Logic
- Technology & Engineering | Engineering (general)
Dewey: 006.3
LCCN: 2002025287
Series: Advances in Intelligent and Soft Computing
Physical Information: 0.68" H x 5.98" W x 9.46" L (1.01 lbs) 285 pages
Features: Illustrated
 
Descriptions, Reviews, Etc.
Publisher Description:
This book is intended to be an undergraduate introduction to the theory of fuzzy sets. We envision, sometime in the future, a curriculum in fuzzy sys- tems theory, which could be in computer /information sciences, mathematics, engineering or economics (business, finance), with this book as the starting point. It is not a book for researchers but a book for beginners where you learn the basics. This course would be analogous to a pre-calculus course where a student studies algebra, functions and trigonometry in preparation for more advanced courses. Chapters 3 through 11 are on fuzzy algebra, fuzzy functions, fuzzy trigonometry, fuzzy geometry, and solving fuzzy equations. However, after this course the student doesn't go on to calculus but to more specialized courses in fuzzy systems theory like fuzzy clustering, fuzzy pattern recogni- tion, fuzzy database, fuzzy image processing and computer vision, robotics, intelligent agents, soft computing, fuzzy rule based systems (control, expert systems), fuzzy decision making, applications to operations research, fuzzy mathematics, fuzzy systems modeling, etc. Therefore, very little of most of these topics are included in this book. There are many new topics included in this book. Let us point out some of them here: (1) mixed fuzzy logic (Section 3.5); (2) three methods of solving fuzzy equation/problems (Chapter 5); (3) solving fuzzy inequalities (Chapter 6); (4) inverse fuzzy functions (Section 8.5); (5) fuzzy plane geometry (Chap- ter 9); (6) fuzzy trigonometry (Chapter 10); and (7) fuzzy optimization based on genetic algorithms (Chapter 16).
 
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