Fuzzy Logic with Engineering Applications
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Fuzzy Logic with Engineering Applications

Fuzzy Logic with Engineering Applications


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About the Book

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.

Table of Contents:
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.

About the Author :
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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Product Details
  • ISBN-13: 9780470860748
  • Publisher: John Wiley and Sons Ltd
  • Publisher Imprint: John Wiley & Sons Ltd
  • Edition: Revised edition
  • Language: English
  • Weight: 1250 gr
  • ISBN-10: 047086074X
  • Publisher Date: 25 Jun 2004
  • Binding: Hardback
  • Height: 251 mm
  • Returnable: N
  • Width: 177 mm


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