New. 0306454521 New. Text free of underlining, writing and highlighting. Book Description Harold Lewis applied a cross-disciplinary approach in his highly accessible discussion of fuzzy control concepts. With the aid of fifty-seven illustrations, he thoroughly presents a unique mathematical formalism to explain the workings of the fuzzy inference engine and a novel test plant used in the research. Additionally, the text posits a new viewpoint on why fuzzy control is more popular in some countries than in others. A direct and original view of Japanese thinking on fuzzy control methods, based on the author's personal knowledge of-and association with-Japanese fuzzy research, is also included. Preface This book was designed to be useful in several different ways and for various groups of people. It can be a textbook, a conceptual how-to book, and a sourcebook of alternative ideas for the design and analysis of systems. It can be used by students and educators, by practicing engineers and managers, and by scientific researchers in any discipline where there is a need to understand complex systems. The book was designed not just to support these various goals, but to be uniquely easy to understand in all cases. Partly as an effective way to address these goals, and partly because I believe that fuzzy control could use a breath of fresh air, this book takes a unique approach on many points. Several of these will be introduced more fully in Chapter 1, but we can briefly summarize them here. 1. There are introductory chapters to expose the student to conventional control concepts and to artificial intelligence (AI), as well as the usual background chapter on fuzzy set concepts. 2. An alternative mathematical formalism is presented for describing the approximate reasoning process. This formalism is arguably easier to understand than the standard one, but still is just as mathematically rigorous. The two formalisms are compared, and a proof is given to show that they lead to equivalent results. Also, both a detailed numerical example in Chapter 5 and a simple Pascal language program in Appendix B are provided as examples of just how simple it is to implement the alternative perspective for given circumstances. 3. The question of why fuzzy control has been to date very popular in some countries, such as Japan, and quite unknown in other countries, such as the United States, is reexamined. A unique viewpoint is presented in response to this question. This viewpoint is less anti-Western and less culturally deterministic than the viewpoint often presented. The book never becomes too philosophical on this point, but this view is discussed at various points throughout the text, particularly in Chapters 1, 4, and 5. 4. Much of the progress in fuzzy control methods over the past few decades has come from Japan. I was able to use my knowledge of the Japanese language, my association with Japanese fuzzy research groups, and personal acquaintance with several of the key researchers to provide a some-299 pages.
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