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Fuzzy System Design Principles: Solving Practical Problems in Fuzzy If-Then Rule Base

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Fuzzy System Design Principles: Solving Practical Problems in Fuzzy If-Then Rule Base (Hardcover)

by Riza C. Berkan (Author), Sheldon L. Trubatch (Author)

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Product details

Hardcover: 514 pages
Publisher: WileyBlackwell (27 April 1997)
Language English
ISBN-10: 0780311515
ISBN-13: 978-0780311510
Product Dimensions: 23.6 x 16.1 x 3.7 cm
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Amazon.co.uk Sales Rank: 2,147,972 in Books (See Bestsellers in Books)

Popular in these categories:

#56 in	Books > Scientific, Technical & Medical > Mathematics > Mathematical Theory > Set Theory
#75 in	Books > Scientific, Technical & Medical > Mathematics > Applied Mathematics > Fuzzy Set Theory
#76 in	Books > Science & Nature > Mathematics > Mathematical Theory > Fuzzy Set Theory

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Product Description

Product Description
This exceptional guide and reference is devised for practitioners who want to employ fuzzy logic concepts in the design and deployment of actual fuzzy systems. FUZZY SYSTEMS DESIGN PRINCIPLES concentrates on the IF–THEN fuzzy algorithm, one of the most popular algorithms implemented today. The "basic fuzzy inference algorithm," the IF–THEN structure is not only applicable to many types of problems, but is also comprised of building blocks used in the development of other types of fuzzy systems used in today′s electronic and software products.

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IEEE Neural Networks Council.

From the Publisher
The ONLY guide and reference devised for designers.
FUZZY SYSTEM DESIGN PRINCIPLES concentrates on the IF-THEN fuzzy algorithm, one of the most popular algorithms implemented today. The "basic fuzzy inference algorithm, the IF-THEN structure is not only applicable to many types of problems but is also comprised of building blocks used in the development of other types of fuzzy systems used in today's electronic and software products. Brimming with tips and insights into the design process, FUZZY SYSTEM DESIGN PRINCIPLES presents a balanced mixture of theory and application within a typical design framework. Readers will learn to make informed choices when selecting design options and to verify chosen principles with commonsense reasoning. Contents: Introduction; Theory; The Basic Fuzzy Inference Algorithm; Conceptual Design; Fuzzy Variable Design; Membership Function Shape Analysis; Composing Fuzzy Rules; Implication Design; Appendix.

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