A Complete Introduction to the Field: Fuzzy Systems Theory and Its Applications / Edition 1

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Overview

Fuzzy systems is a mathematical framework for dealing with uncertain, ambiguous, and approximate information. An alternative to traditional binary logic, fuzzy logic has proved to be better suited to solving complex, real world programming problems.**This book provides a concise overview of fuzzy systems theory and its applications. Written by the leading scientists behind the successful Japanese fuzzy systems research effort, the goal of the book is to introduce fuzzy systems as a practical tool. After presenting the basics of fuzzy systems theory, the book presents practical applications of fuzzy systems theory in a wide variety of fields, including artificial intelligence and expert systems, diagnosis, control, robotics, image recognition, databases, and information retrieval.

* Provides a concise introduction to fuzzy systems theory
* Focuses on practical applications of fuzzy systems, and compares the results to the results from other methodologies
* Written by leading Japanese researchers in fuzzy systems theory and applications

Audience: Engineers and computing professionals, managers interested in applications of fuzzy systems theory to computing, control engineering, and robotics.

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Editorial Reviews

Booknews
A practical guide to using fuzzy-set theory as an alternative to binary logic in solving problems of computer programming. Consists essentially of a series of examples of applications in a variety of fields in Japan, with the abstract theory explained only as far as necessary. Translated from the 1987 Japanese edition. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780126852455
  • Publisher: Elsevier Science & Technology Books
  • Publication date: 1/28/1992
  • Edition number: 1
  • Pages: 264
  • Product dimensions: 6.09 (w) x 9.18 (h) x 0.71 (d)

Table of Contents

Outline. The Basics of Fuzzy Theory. Fuzzy Relations. Fuzzy Regression Models. Statistical Decision Making. Fuzzy Quantification Theory. Fuzzy Mathematical Programming. Evaluation. Diagnosis. Control. Human Activities. Robots. Image Recognition. Databases. Information Retrieval. Expert System for Damage Assessment. Index.
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