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Fuzzy Logic with Engineering Applications, 2nd Edition

Fuzzy Logic with Engineering Applications, 2nd Edition

Timothy J. Ross

ISBN: 978-0-470-86076-2

Apr 2005

650 pages

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Fuzzy logic refers to a large subject dealing with a set of methods to characterize and quantify uncertainty in engineering systems that arise from ambiguity, imprecision, fuzziness, and lack of knowledge. Fuzzy logic is a reasoning system based on a foundation of fuzzy set theory, itself an extension of classical set theory, where set membership can be partial as opposed to all or none, as in the binary features of classical logic.

Fuzzy logic is a relatively new discipline in which major advances have been made over the last decade or so with regard to theory and applications.  Following on from the successful first edition, this fully updated new edition is therefore very timely and much anticipated. Concentration on the topics of fuzzy logic combined with an abundance of worked examples, chapter problems and commercial case studies is designed to help motivate a mainstream engineering audience, and the book is further strengthened by the inclusion of an online solutions manual as well as dedicated software codes.

Senior undergraduate and postgraduate students in most engineering disciplines, academics and practicing engineers, plus some working in economics, control theory, operational research etc, will all find this a valuable addition to their bookshelves.

About the Author.

Preface to the Second Edition.

1. Introduction.

2. Classical Sets and Fuzzy Sets.

3. Classical Relations and Fuzzy Relations.

4. Properties of Membership Functions, Fuzzification, and Defuzzification.

5. Logic and Fuzzy Systems.

6. Development of Membership Functions.

7. Automated Methods for Fuzzy Systems.

8. Fuzzy Systems Simulation.

9. Rule-base Reduction Methods.

10. Decision Making with Fuzzy Information.

11. Fuzzy Classification and Pattern Recognition.

12. Fuzzy Arithmetic and the Extension Principle.

13. Fuzzy Control Systems.

14. Miscellaneous Topics.

15. Monotone Measures: Belief, Plausibility, Probability, and Possibility.

Appendix A: Axiomatic Differences between Fuzzy Set Theory and Probability Theory.

Appendix B: Answers to Selected Problems.

Index of Examples and Problems by Discipline.


Second edition.  Fully updated since first publication in 1994.
"…an excellent textbook for engineering students as well as a useful resource for practicing professionals in the various engineering areas. In fact, there is no other book on the market that can compete with it for this audience." (International Journal of General Systems, June 2005)
  • Provides numerous worked examples and practical applications
  • Offers end of chapter exercises and solutions
  • Accompanying online solutions manual and software