Fuzzy Systems Engineering: Toward Human-Centric Computing (Hardcover)

Witold Pedrycz, Fernando Gomide

  • 出版商: Wiley
  • 出版日期: 2007-08-01
  • 售價: $1,330
  • 語言: 英文
  • 頁數: 544
  • 裝訂: Hardcover
  • ISBN: 0471788570
  • ISBN-13: 9780471788577
  • 已絕版
    無現貨庫存(No stock available)




A self-contained treatment of fuzzy systems engineering, offering conceptual fundamentals, design methodologies, development guidelines, and carefully selected illustrative materialThroughout the book, the authors emphasize the direct applicability and limitations of the concepts being discussed, and historical and bibliographical notes are included in each chapter to help readers view the developments of fuzzy sets from a broader perspective. A radical departure from current books on the subject, Fuzzy Systems Engineering presents fuzzy sets as an enabling technology whose impact, contributions, and methodology stretch far beyond any specific discipline, making it applicable to researchers and practitioners in engineering, computer science, business, medicine, bioinformatics, and computational biology. Additionally, three appendices and classroom-ready electronic resources make it an ideal textbook for advanced undergraduate- and graduate-level courses in engineering and science.

Table of Contents

Chapter 1. Introduction.
Chapter 2. Notions and Concepts of Fuzzy Sets.
Chapter 3. Characterization of Fuzzy Sets.
Chapter 4. The Design of Fuzzy Sets.
Chapter 5. Operations and Aggregations of Fuzzy Sets.
Chapter 6. Fuzzy Relations.
Chapter 7. Transformations of Fuzzy Sets.
Chapter 8. Generalizations and Extensions of Fuzzy Sets.
Chapter 9. Interoperability Aspects of Fuzzy Sets.
Chapter 10. Fuzzy Modeling: Principles and Methodology.
Chapter 11. Rule-based Fuzzy Models.
Chapter 12. From Logic Expressions to Fuzzy Logic Networks.
Chapter 13. Fuzzy Systems and Computational Intelligence.
Chapter 14. Granular Models and Human Centric Computing.
Chapter 15. Emerging Trends in Fuzzy Systems.
Exercises and problems.
Historical notes.
Appendix A Mathematical Prerequisites.
Appendix B Neurocomputing.
Appendix C Biologically Inspired Optimization