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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Paperback (Softcover reprint of the original 1st ed. 1996)
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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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Product Details

  • ISBN-13: 9781461286271
  • Publisher: Springer US
  • Publication date: 7/31/2012
  • Series: International Series in Intelligent Technologies , #8
  • Edition description: Softcover reprint of the original 1st ed. 1996
  • Edition number: 1
  • Pages: 330
  • Product dimensions: 6.14 (w) x 9.21 (h) x 0.74 (d)

Table of Contents

Foreword; G.J. Klir. Editor's Preface; Da Ruan. Part 1: Fuzzy Logic Foundations. 1. A Unified View of Case Based Reasoning and Fuzzy Modeling; R.R. Yager. 2. Open-mindedness and Probabilities Versus Possibilities; E. Hisdal. 3. Fuzzy Derivatives and Fuzzy Cauchy Problems Using LP Metric; M. Friedman, et al. 4. On the Classification and the Dependencies of the Ordering Methods; Xuzhu Wang, E. Kerre. Part 2: Fuzzy Logic Systems. 5. Possibility Model and Its Applications; H. Tanaka. 6. Interactive Fuzzy Programming for Multiobjective 0-1 Programming Problems Through Genetic Algorithms with Double Strings; M. Sakawa, T. Shibano. 7. The Handling of Fuzzy Objective Functions in (Multicriteria) Linear Programs; H.J. Rommelfanger. 8. Making Decisions on Fuzzy Integer Linear Programming Problems; F. Herrera, J.L. Verdegay. 9. Information Diffusion Principle and Application in Fuzzy Neuron; Chongfu Huang, Da Ruan. Part 3: Fuzzy Logic Industrial Applications. 10. Some Application Examples of Fuzzy Set Theory; H. Hellendoorn. 11. Recent Successful Fuzzy Logic Applications in Industrial Automation; C. von Altrock. 12. FIPS - Foundations of a New Tool for Process Control Problems; S. Gottwald, M. Locke. 13. Industrial Applications of Fuzzy Logic and Neural Networks in China; Xiaozhong Li. 14. The Potential of Fuzzy Logic Applications in Industry; A.J. van der Wal. 15. Fuzzy Logic Applications in Nuclear Industry; Da Ruan. Subject Index.
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