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Fuzzy Logic with Engineering Applications 2e
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More About This Title Fuzzy Logic with Engineering Applications 2e

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Timothy J. Ross is Professor and Regents’ Lecturer of Civil Engineering at the University of New Mexico. He received his PhD degree in Civil Engineering from Stanford University, his MS from Rice University, and his BS from Washington State University. Professor Ross has held previous positions as Senior Research Structural Engineer, Air Force Weapons Laboratory, from 1978 to 1986; and Vulnerability Engineer, Defense Intelligence Agency, from 1973 to 1978. Professor Ross has authored more than 120 publications and has been active in the research and teaching of fuzzy logic since 1983. He is the founding Co-Editor-in-Chief of the International Journal of Intelligent and Fuzzy Systems and the co-editor of Fuzzy Logic and Control: Software and Hardware Applications, and most recently co-editor of Fuzzy Logic and Probability Applications: Bridging the Gap. Professor Ross is a Fellow of the American Society of Civil Engineers. He consults for industry and such institutions as Sandia National Laboratory and the National Technological University, and is a current Faculty Affiliate with the Los Alamos National Laboratory. He was recently honored with a Senior Fulbright Fellowship for his sabbatical study at the University of Calgary, Alberta, Canada.
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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.

Index.

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"…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)
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