Fuzzy Logic: Intelligence, Control, and Information [Hardcover]

John Yen (Author), Reza Langari (Author)

Book Description

ISBN-10: 0135258170 | ISBN-13: 978-0135258170 | Publication Date: November 23, 1998 | Edition: 1

Highlights motivations and benefits of employing fuzzy logic in control engineering and information systems. Providing equal emphasis on theoretical foundations and practical issues, this book features fuzzy logic concepts and techniques in intelligent systems, control, and information technology. Uses Fuzzy Logic Toolbox for MATLAB™ to demonstrate exemplar applications and to develop hands-on exercises. Introduces the connection between fuzzy logic and related ideas, methods, and theories developed in other disciplines (e.g., artificial intelligence, probability theory, control, model identification, etc.).

Editorial Reviews

Review

``Superb. This one-word assessment summarizes my view of "Fuzzy Logic: Intelligence, Control and Information," (or FL:ICI for short) -- a long-awaited text by Professors John Yen and Reza Langari. Written with authority and high expository skill, FL: ICI reflects the extensive experience of its authors in both teaching and research in fuzzy logic and related fields. ... The historical notes, the bibliographies and the exercises contribute substantially to the reader-friendliness of FL:ICI and enhance its value as a text.

In sum, FL:ICI is in every respect an outstanding contribution to the literature of fuzzy logic and soft computing, and is a must for anyone who is interested in the conception, design and utilization of information/intelligent/control systems. Professors Yen and Langari deserve our thanks and congratulations.'' -- Lotfi A. Zadeh, Professor, University of California, Berkeley

From the Back Cover

Providing equal emphasis on theoretical foundations and practical issues, this book features fuzzy logic concepts and techniques in intelligent systems, control, and information technology.

FEATURES

• Comprehensive and up-to-date coverage.
• Provides examples and exercises that are related to real world problems.
• Uses Fuzzy Logic Toolbox for MATLAB™ to demonstrate exemplar applications and to develop hands-on exercises.
• Provides design guidelines and design methods for developing fuzzy logic applications.
• Provides a modern perspective of the fuzzy logic technology.
• Introduces core concepts and techniques gently in two steps.
• Provides relevant background materials that encompass a wide range of disciplines.
• Introduces the connection between fuzzy logic and related ideas, methods, and theories developed in other disciplines (e.g., artificial intelligence, probability theory, control, model identification, etc.).
• Summarizes key concepts at the end of each chapter.
• Highlights motivations and benefits of employing fuzzy logic in control engineering and information systems.
• Discussion of open research issues and their implications.
• A chapter is devoted to the subject of "How to design a fuzzy system." In addition, several other chapters (e.g., the chapters on fuzzy model identification and neuro-fuzzy systems) introduce techniques for automating decisions in the design process using training data (i.e., examples) and learning algorithms.
• Advanced topics are separated from the basic material in the chapter that immediately follows.

See all Editorial Reviews

Product Details

• Hardcover: 548 pages
• Publisher: Prentice Hall; 1 edition (November 23, 1998)
• Language: English
• ISBN-10: 0135258170
• ISBN-13: 978-0135258170
• Product Dimensions: 9.6 x 7.8 x 1.2 inches
• Shipping Weight: 2.2 pounds (View shipping rates and policies)
• Average Customer Review: 2.8 out of 5 stars  See all reviews (5 customer reviews)
• Amazon Best Sellers Rank: #864,820 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

8 of 8 people found the following review helpful:

1.0 out of 5 stars horrible text, December 12, 1999

By 

Robert H Holder (Louisiana) - See all my reviews

This review is from: Fuzzy Logic: Intelligence, Control, and Information (Hardcover)

As a graduate student who had to buy and use this book for a class, I strongly discourage using this book for teaching or for beginners to fuzzy logic. The problems created from the errors in problems and theorms causes more difficulty than working the actual problems.

I would have given this book two stars, except for the fact that there are not nearly enough examples to complement the theorms. Neglecting examples and leaving the reader with just a long algorithm (which may or may not have typos) is fine for a reference, but not for a book that presents these concepts to the novice.

I consider this book $95 not well spent.

7 of 7 people found the following review helpful:

3.0 out of 5 stars *LOT* of errors in the book, April 16, 1999

By A Customer

This review is from: Fuzzy Logic: Intelligence, Control, and Information (Hardcover)

The book has a lot of errors in it -- some like errors in numbering the problems, are totally inexcusable.

The authors seem to lack a definite approach to teaching Fuzzy Logic. I felt that the book is a whole bunch of (useful) information dumped in front of the reader, and its upto the reader to figure out how the pieces fit together.

There are some topics which need deeper explanations. There are also places where the authors show some concepts, totally assuming that the reader understands the mathematical relations shown.

If you want to buy this book, I suggest you wait for the next edition! I sincerely hope that it will be better.

5 of 6 people found the following review helpful:

1.0 out of 5 stars Terrible Text, March 5, 2001

By A Customer

This review is from: Fuzzy Logic: Intelligence, Control, and Information (Hardcover)

I'd have given it 0 star if that's an option. It's full of errors, "cryptic" sentences encoded in the authors' proprietory RSA encryption algorithm, and "core dumped" information. Can't believe that Prentice Hall would publish such junk.