InhaltsangabePreface. 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. Appendix A Mathematical Prerequisites. Appendix B Neurocomputing. Appendix C Biologically Inspired Optimization.

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Witold Pedrycz, PhD, is Professor and Canada Research Chair in Computational Intelligence at the University of Alberta, Canada. His research interests include granular computing, including fuzzy set technology, neural networks and evolutionary computing, pattern recognition, data mining, and emerging behavior and adaptive systems. He has authored or edited eight books, over 200 papers in journals or volumes, and over forty conference papers. He is a Fellow of the IEEE and IFSA. Fernando Gomide, PhD, teaches in the Department of Computer Engineering and Industrial Automation at the State University of Campinas (UNICAMP) in São Paulo, Brazil. His areas of interest include fuzzy sets and logic, artificial intelligence, and genetic algorithms.

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