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The Fuzzy Systems Handbook: A Practitioner's Guide to Building, Using, and Maintaining Fuzzy Systems (Paperback)

by Lotfi Zadeh (Foreword), Earl Cox (Author), Michael O'Hagan (Author) "In this introductory chapter we discuss the rationale behind fuzzy system modeling, introduce the ideas of a fuzzy set and a linguistic variable, differentiate between..." (more)

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Product details

Paperback: 716 pages
Publisher: AP Professional; 2Rev Ed edition (Oct 1998)
Language English
ISBN-10: 0121944557
ISBN-13: 978-0121944551
Product Dimensions: 23.5 x 18.7 x 4.4 cm
Average Customer Review: No customer reviews yet. Be the first.
Amazon.co.uk Sales Rank: 1,322,965 in Books (See Bestsellers in Books)
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#91 in Books > Computing & Internet > Computer Science > Algorithms > Fuzzy Logic

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Product Description

Reviews
From reviews of the First Edition: "When it's time to roll up your sleeves and put fuzzy logic to work, Earl Cox can show you how to put theory into practice. His excellent The Fuzzy Systems Handbook presents a complete fuzzy-modeling system (source code included) and explains how to use it." --Byte Magazine

"Unlike many textbooks on fuzzy logic, this book by Earl Cox is a very impressive computer-oriented guide to the world of fuzzy sets and their applications in modelling soft and complex systems...Carefully chosen figures give a rapid and deep insight into the very nature of the problems being discussed...In summary, The Fuzzy Systems Handbook is a valuable source volume for system designers and all those interested in the applications of fuzzy systems." --Control Engineering Practice

Control Engineering Practice
"Unlike many textbooks on fuzzy logic, this book by Earl Cox is a very impressive computer-oriented guide to the world of fuzzy sets and their applications in modelling soft and complex systems...Carefully chosen figures give a rapid and deep insight into the very nature of the problems being discussed...In summary, The Fuzzy Systems Handbook is a valuable source volume for system designers and all those interested in the applications of fuzzy systems."

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First Sentence
In this introductory chapter we discuss the rationale behind fuzzy system modeling, introduce the ideas of a fuzzy set and a linguistic variable, differentiate between fuzzy logic and the more general area of approximate reasoning, briefly trace the history of fuzzy set theory, and outline the benefits of using fuzzy logic in information system modeling. Read the first page

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