Fuzzy Systems Engineering: Theory and Practice
This book is devoted to reporting innovative and significant progress in fuzzy system engineering. Given the maturation of fuzzy logic, this book is dedicated to exploring the recent breakthroughs in fuzziness and soft computing in favour of intelligent system engineering. This monograph presents novel developments of the fuzzy theory as well as interesting applications of the fuzzy logic exploiting the theory to engineer intelligent systems.

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Fuzzy Systems Engineering: Theory and Practice
This book is devoted to reporting innovative and significant progress in fuzzy system engineering. Given the maturation of fuzzy logic, this book is dedicated to exploring the recent breakthroughs in fuzziness and soft computing in favour of intelligent system engineering. This monograph presents novel developments of the fuzzy theory as well as interesting applications of the fuzzy logic exploiting the theory to engineer intelligent systems.

169.99 In Stock
Fuzzy Systems Engineering: Theory and Practice

Fuzzy Systems Engineering: Theory and Practice

Fuzzy Systems Engineering: Theory and Practice

Fuzzy Systems Engineering: Theory and Practice

Hardcover(2005)

$169.99 
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Overview

This book is devoted to reporting innovative and significant progress in fuzzy system engineering. Given the maturation of fuzzy logic, this book is dedicated to exploring the recent breakthroughs in fuzziness and soft computing in favour of intelligent system engineering. This monograph presents novel developments of the fuzzy theory as well as interesting applications of the fuzzy logic exploiting the theory to engineer intelligent systems.


Product Details

ISBN-13: 9783540253228
Publisher: Springer Berlin Heidelberg
Publication date: 07/21/2005
Series: Studies in Fuzziness and Soft Computing , #181
Edition description: 2005
Pages: 230
Product dimensions: 6.10(w) x 9.25(h) x 0.36(d)

Table of Contents

Part I Fuzzy Theory. Introducing You to Fuzziness. A Qualitative Approach for Symbolic Data Manipulation Under Uncertainty. Adaptation of Fuzzy Inference System Using Neural Learning.- Part II Fuzzy Systems. A fuzzy approach on guiding model for interception flight. On the Stability and Sensitivity Analysis of Fuzzy Control Systems for Servo-systems. Applications of Fuzzy Logic in Mobile Robots Control. Modeling the Tennessee Eastman Chemical Process Reactor Using Fuzzy Logic.
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