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Fuzzy Logic Foundations and Industrial Applications

Overview

Fuzzy Logic Foundations and Industrial Applications is an organized edited collection of contributed chapters covering basic fuzzy logic theory, fuzzy linear programming, and applications. Special emphasis has been given to coverage of recent research results, and to industrial applications of fuzzy logic.
The chapters are new works that have been written exclusively for this book by many of the leading and prominent researchers (such as Ronald Yager, Ellen Hisdal, Etienne ...
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Overview

Fuzzy Logic Foundations and Industrial Applications is an organized edited collection of contributed chapters covering basic fuzzy logic theory, fuzzy linear programming, and applications. Special emphasis has been given to coverage of recent research results, and to industrial applications of fuzzy logic.
The chapters are new works that have been written exclusively for this book by many of the leading and prominent researchers (such as Ronald Yager, Ellen Hisdal, Etienne Kerre, and others) in this field. The contributions are original and each chapter is self-contained. The authors have been careful to indicate direct links between fuzzy set theory and its industrial applications.
Fuzzy Logic Foundations and Industrial Applications is an invaluable work that provides researchers and industrial engineers with up-to-date coverage of new results on fuzzy logic and relates these results to their industrial use.
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Editorial Reviews

Booknews
Fifteen contributions provide researchers and engineers from both academic and industry with up-to-date coverage of new results on fuzzy logic and its industrial applications. Arrangement is in three sections covering fuzzy logic foundations, systems, and industrial applications. The volume celebrates Professor Han-Jurgen Zimmermann's U. of Aachen, Germany 25 years of contribution to the theory and applications of the discipline. A sampling of topics: case based reasoning and fuzzy modeling, open-mindedness and probabilities vs. possibilities, fuzzy integer linear programming problems, and information diffusion principle and application in fuzzy neuron. The subject index is brief. Annotation c. by Book News, Inc., Portland, Or.
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Product Details

Table of Contents

Contributors
Foreword
Editor's Preface
1 A Unified View of Case Based Reasoning and Fuzzy Modeling 5
2 Open-Mindedness and Probabilities Versus Possibilities 27
3 Fuzzy Derivatives and Fuzzy Cauchy Problems Using LP Metric 57
4 On the Classification and the Dependencies of the Ordering Methods 73
5 Possibility Model and Its Applications 93
6 Interactive Fuzzy Programming for Multiobjective 0-1 Programming Problems Through Genetic Algorithms With Double Strings 111
7 The Handling of Fuzzy Objective Functions in (Multicriteria) Linear Programs 129
8 Making Decisions on Fuzzy Integer Linear Programming Problems 147
9 Information Diffusion Principle and Application in Fuzzy Neuron 165
10 Some Application Examples of Fuzzy Set Theory 201
11 Recent Successful Fuzzy Logic Applications in Industrial Automation 225
12 FIPS - Foundations of a New Tool for Process Control Problems 247
13 Industrial Applications of Fuzzy Logic and Neural Networks in China 265
14 The Potential of Fuzzy Logic Applications in Industry 275
15 Fuzzy Logic Applications in Nuclear Industry 313
Subject Index 329
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