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Fuzzy Systems Engineering: Toward Human-Centric Computing
ISBN: 978-0-471-78857-7 Hardcover 526 pages August 2007 Wiley-IEEE Press |
Authors
Witold Pedrycz, PhD,
is Professor and Canada Research Chair in Computational Intelligence at the University
of Alberta, Edmonton, Canada. His research interests include granular
computing, 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 University of Campinas (UNICAMP), Campinas, São Paulo, Brazil. His areas of
interest include fuzzy sets and logic, artificial intelligence, genetic
algorithms, systems modeling, optimization and control, applications. He is a member of IEEE, NAFIPS and
EUSFLAT.
Book Description
The book is a self-contained treatment of fuzzy set
theory and systems engineering. It offers conceptual fundamentals, design
methodologies and algorithms, development guidelines, together with carefully
selected illustrative materials.
After forty years since the birth of fuzzy sets, several theoretical,
conceptual, methodological, algorithmic developments, and new applications have
emerged. The book presents an up-to-date approach to fuzzy systems engineering,
covering concepts, design methodologies, and algorithms coupled with
interpretation, analysis, and underlying engineering knowledge. The approach
undertaken aims at a holistic view of fuzzy sets as a fundamental component of
computational intelligence and human-centric systems.
Throughout the book, the authors emphasize the direct applicability and
limitations of the concepts being discussed. Historical and bibliographical
notes have been added in each chapter to give readers a view of the
developments of fuzzy sets from a broader perspective. A fundamental 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.
Contents
Preface.
Chap. 1. Introduction.
Chap. 2. Notions and Concepts of
Fuzzy Sets.
Chap. 3. Characterization of Fuzzy
Sets.
Chap. 4. The Design of Fuzzy
Sets.
Chap. 5. Operations and Aggregations
of Fuzzy Sets.
Chap. 6. Fuzzy Relations.
Chap. 7. Transformations of Fuzzy
Sets.
Chap. 8. Generalizations and
Extensions of Fuzzy Sets.
Chap. 9. Interoperability Aspects of
Fuzzy Sets.
Chap. 10. Fuzzy Modeling: Principles
and Methodology.
Chap. 11. Rule-based Fuzzy
Models.
Chap. 12. From Logic Expressions to
Fuzzy Logic Networks.
Chap. 13. Fuzzy Systems and
Computational Intelligence.
Chap. 14. Granular Models and Human
Centric Computing.
Chap. 15.
Emerging Trends in Fuzzy Systems.
Appendix
A: Mathematical Prerequisites.
Appendix
B: Neurocomputing.
Appendix
C: Biologically Inspired Optimization.
Detailed
description of the chapters.
Excerpt: Chapter 1.
Introduction
Slides
Errata
Sugestions