Fuzzy Logic with Engineering Applications

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.

Chapter 1 Introduction. Chapter 2 Set Theory. Chapter 3 Relations. Chapter 4 Fuzzification and Defuzzification Methods. Chapter 5 Logic and Fuzzy Systems. Chapter 6 Membership Function Development. Chapter 7 Automated Methods for Generating Rules and Membership Functions. Chapter 8 Fuzzy Systems Simulation. Chapter 9 Rule-base Reduction. Chapter 10 Decision Making. Chapter 11 Classification and Pattern Recognition. Chapter 12 Fuzzy Arithmetic. Chapter 13 Fuzzy Control. Chapter 14 Miscellaneous Fuzzy Applications. Chapter 15 Alternative Methods: Generalized Information Theories. APPENDICES: Answers to selected exercise problems. Axiomatic differences between fuzzy set theory and probability theory. INDEX.