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Hardcover | Out of Print | 490 pp. | 7.1 x 10.1 in | April 1998 | ISBN: 9780262161718
eBook | $75.00 Short | April 1998 | ISBN: 9780262333122
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Essential Info

  • Table of Contents

An Introduction to Fuzzy Sets

Analysis and Design


The concept of fuzzy sets is one of the most fundamental and influential tools in computational intelligence. Fuzzy sets can provide solutions to a broad range of problems of control, pattern classification, reasoning, planning, and computer vision. This book bridges the gap that has developed between theory and practice. The authors explain what fuzzy sets are, why they work, when they should be used (and when they shouldn't), and how to design systems using them.

The authors take an unusual top-down approach to the design of detailed algorithms. They begin with illustrative examples, explain the fundamental theory and design methodologies, and then present more advanced case studies dealing with practical tasks. While they use mathematics to introduce concepts, they ground them in examples of real-world problems that can be solved through fuzzy set technology. The only mathematics prerequisites are a basic knowledge of introductory calculus and linear algebra.

Instructor Resources for This Title:

Instructor's Manual

About the Author

Witold Pedrycz is Professor and Chair of Electrical and Computer Engineering at the University of Alberta.


“The Pedrycz and Gomide text is superb in all respects. Its exposition of fuzzy-neural networks and fuzzy-genetic systems adds much to its value as a textbook.”
Lotfi A. Zadeh, University of California, Berkeley