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Fuzzy Sets and Fuzzy Logic: Theory and Applications, 2/e

Fuzzy Sets and Fuzzy Logic: Theory and Applications, 2/e

Author(s):
  • George J Klir
    • Author: George J Klir
    • ISBN:9789332549425
    • 10 Digit ISBN:9332549427
    • Price:Rs. 795.00
    • Pages:592
    • Imprint:Pearson Education
    • Binding:Paperback
    • Status:Available


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    Reflecting the tremendous advances that have taken place in the study of fuzzy set theory and fuzzy logic from 1988 to the present, this book not only details the theoretical advances in these areas, but considers a broad variety of applications of fuzzy sets and fuzzy logic as well.

    Table of Content

    I. THEORY
    1. From Classical (Crisp) Sets to Fuzzy Sets: A Grand Paradigm Shift
    2. Fuzzy Sets versus Crisp Sets
    3. Operations on Fuzzy Sets
    4. Fuzzy Arithmetic
    5. Fuzzy Relations
    6. Fuzzy Relation Equations
    7. Possibility Theory
    8. Fuzzy Logic
    9. Uncertainty-Based Information
    II. APPLICATIONS
    10. Constructing Fuzzy Sets and Operations on Fuzzy Sets
    11. Approximate Reasoning
    12. Fuzzy Systems
    13. Pattern Recognition
    14. Fuzzy Databases and Information Retrieval Systems
    15. Fuzzy Decision Making
    16. Engineering Applications
    17. Miscellaneous Applications
    Appendix A. Neural Networks: An Overview
    Appendix B. Genetic Algorithms: An Overview
    Appendix C. Rough Sets versus Fuzzy Sets
    Appendix D. Proofs of Some Mathematical Theorems
    Appendix E. Glossary of Key Concepts
    Appendix F. Glossary of Symbols
     

    Salient Features

    • Details the advances that have taken place in fuzzy set theory and fuzzy logic in recent years.
    • Requires only a basic knowledge of classical (nonfuzzy) set theory, classical (two-valued) logic, and probability theory.
    • Includes all bibliographical, historical, and other side remarks in the notes that follow each individual chapter.
    • Includes a set of exercises after each chapter.
    • Offers an overview of neural networks, genetic algorithms, and rough sets in Appendices A-C.
    • Includes a glossary of key concepts and a glossary of symbols.