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Fuzzy Logic with Engineering Applications, by Timothy J. Ross
Free Ebook Fuzzy Logic with Engineering Applications, by Timothy J. Ross
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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.
- Sales Rank: #3275811 in Books
- Published on: 2004-08-16
- Original language: English
- Number of items: 1
- Dimensions: 9.69" h x 1.49" w x 6.57" l,
- Binding: Paperback
- 650 pages
Review
"…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)
From the Back Cover
Fuzzy logic is a simple phrase that actually 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.
This 15-chapter textbook remains the only major text that can be used for both undergraduate and graduate classroom instruction in this technology field. The first 8 chapters of the text cover fundamental materials useful in characterizing various forms of uncertainty and in developing the methods to quantify these uncertainties. Four chapters present specific case studies in decision making, classification and pattern recognition, control, simulation, and fuzzy arithmetic. There is one chapter on miscellaneous applications of fuzzy logic, one chapter on new rule-reduction techniques, and the final chapter presents material on other uncertainty theories with examples using evidence theory, possibility theory, and probability theory.
Key features include:
- end-of-chapter references and exercise problems
- solutions to selected exercise problems
- an accompanying online instructors' solution manual
- accompanying online software and updates
- examples of applications in most engineering disciplines: civil, chemical, mechanical, electrical, and computer science and engineering
This book will appeal to senior undergraduate and graduate students in engineering, and to graduate students in many other scientific fields. Practitioners in control theory, classification, systems integration and systems modeling and operations research application will also find this a useful text.
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.
Most helpful customer reviews
7 of 9 people found the following review helpful.
LOADED WITH ERRATA
By H. C. Phillips
I purchased the book for a graduate level engineering course. Perhaps the other raters are orders of magnitude smarter than I, because I found the book to be extremely difficult to understand, almost to the point of laughability. The narrative is unnecessarily complex in my opinion, requiring a serious student to read and reread multiple times until a concept can be grasped. And you better have a dictionary handy because you will likely come across terms that even a well educated person will not recognize. To make matters worse, the text is LOADED with errata. On several occasions I struggled for hours working through examples in various chapters, pulling my hair out and not getting it, only to discover later after confronting the professor that the example was wrong. Not only are there numerical errors laced throughout the text and in the answer appendix, but there are MANY instances where the concept/strategy is not fully explained in an example, leaving you to scratch your head as to why particular variables and their value were chosen (not calculated), why a certain step was performed or not performed, and why certain "tactical decisions" were made as you make your way through a procedure. Several of the sketches are sloppy too where the accompanying narrative does not always match with what the sketch is telling you.
For a rather complex subject, the last thing you need is to struggle with the text. There are so many errors, and so many instances where a complex idea or example is not fully explained that I would recommend purchasing other reference material; at least until the 3rd edition of this text comes out and corrects most of the errata.
4 of 5 people found the following review helpful.
Much better fuzzy logic books are out there.
By Robert W. Morgan
With the exception of Ch. 1, the first part of the book is o.k. To see my problem with chapter 1, simply look at the article on bounded rationality he uses in his discussion of a chess game. First, several parts of the article are coppied word for word directly in his text; I have no problem with this, but they should appear in quotes. Second, I don't think his analysis of the article is accurate.
Ross does an excellent job of introducing binary logic and extending the results to fuzzy logic. However, other than this one chapter, the rest of the rest of the book is not worth the read. A much better book is by Yager and Filev. I went with Ross' text because it was published in 2004 (you know, latest is greatest) compared to the 1995 publishing of Yager's book. Don't make the same mistake, just get Yager's book; you will learn more and save yourself some money!
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