سایت CEB:ترجمه تخصصی رشته کامپیوتر - معرفی و دانلود کتب انگلیسی رشته کامپیوتر

امتیاز کاربران

ستاره غیر فعالستاره غیر فعالستاره غیر فعالستاره غیر فعالستاره غیر فعال
 

انتشارات: Prentice-Hall Inc.

اثر: George J. Klir & Bo Yuan

تعداد صفحه: 590

حجم: 19.2MB

جلد کتاب

توضیحات کتاب:

From foreword by Lotfi A. Zadeh:

Fuzzy Sets and Fuzzy Logic is a true magnum opus. An enlargement of Fuzzy Sets, Uncertainty, and Information. Fuzzy Sets and Fuzzy Logic addresses practically every signiftcant topic in the broad expanse of the union of fuzzy set theory and fuzzy logic. To me Fuzzy Sets and Fuzzy Logic is a remarkable achievement; it covers its vast territory with impeccable authority, deep insight and a meticulous attention to detail.

Underlying the organization of Fuzzy Sets and Fuzzy Logic is a fundamental fact, namely, that any field X and any theory Y can be fuzzified by replacing the concept of a crisp set in X and Y by that of a fuzzy set. In application to basic fields such as arithmetic, topology, graph theory, probability theory and logic, fuzzification leads to fuzzy arithmetic, fuzzy topology, fuzzy graph theory, fuzzy probability theory and FLn. Similarly, in application to applied fields such as neural network theory, stability theory, pattern recognition and mathematical programming, fuzzification leads to fuzzy neural network theory, fuzzy stability theory, fuzzy pattern recognition and fuzzy mathematical programming. What is gained through fuzzification is greater generality, higher expressive power, an enhanced ability to model real-world problems and, most importantly, a methodology for exploiting the tolerance for imprecision—a methodology which serves to achieve tractability, robustness and lower solution cost.

What we are witnessing today - and what is reflected in Fuzzy Sets and Fuzzy Logic - is a growing number of fields and theories which are undergoing fuzzification. This is what underlines the basic paradigm shift which is discussed so insightfully in the first chapter of Fuzzy Sets andFuzzy Logic. The driving force behind this paradigm shift is the realization that traditional two-valued logical systems, crisp set theory and crisp probability theory are inadequate for dealing with imprecision, uncertainty and complexity of the real world. It is this realization that motivates the evolution of fuzzy set theory and fuzzy logic and shapes their role in restructuring the foundations of scientific theories and their applications. And it is in this perspective that the contents of Fuzzy Sets and Fuzzy Logic should be viewed.

The first part of Fuzzy Sets and Fuzzy Logic provides a very carefully crafted introduction to the basic concepts and techniques of fuzzy set theory. The exposition is authoritative, rigorous and up-to-date. An important issue which receives a great deal of attention is that of the relationship between fuzzy set theory and alternative methods of dealing with uncertainty. This is a complex, controversial issue that is close to the heart of Professor Klir and which he treats with authority and insight.

There is a minor point relating to possibility theory that deserves a brief comment. In Fuzzy Sets and Frizzy Logic, the concept of possibility rneaure is introduced via Dempster-Steel's theory of evidence. This is motivated by the observation that in the case of nested focal sets in the Dempster-Shafer theory, possibility measure coincides with plausibility measure. I view this as merely a point of tangency between the Dempster-Shafer theory and possibility theory, since the two theories have altogether different agendas. Although the authors note that possibility theory can also be introduced via fuzzy set theory, their choice of the theory of evidence as the point of departure makes possibility theory less intuitive and harder to understand.

The second part of Fuzzy Sets and Juzzy Logic is, in the main, applications oriented, but it also contains compact and yet insightful expositions of the calculi of fuzzy rules and fuzzy relations. The applications cover a wide spectrum of topics ranging from fuzzy control and expert systems to information retrieval, pattern recognition and decision analysis. The discussion of applications is thorough and up-to-date. The book closes with a valuable bibliography of over 1,700 papers and books dealing with various issues relating to fuzzy sets and fuzzy logic. To say that Fuzzy Sets and Fuzzy Logic is a major contribution to the literature is an understatement.

In most of the current applications of fuzzy logic in the realms of industrial systems and consumer products, what is used is a small subset of fuzzy logic centering on the methodology of fuzzy rules and their induction from observations. By focusing on this and only this methodology, it is possible to acquire—with a low expenditure of time and effort—a working knowledge of fuzzy logic techniques. This is not the route chosen by Professor Klir and Bo Yuan. Their goals are loftier, they have produced a volume that presents an exceptionally thorough, well-organized, authoritative and reader-friendly exposition of the methodology of fuzzy sets and fuzzy logic. Their book is eminently suitable both as a textbook and as a reference_ It should be on the desk of everyone who is interested in acquiring a solid understanding of the foundations of fuzzy sets and fuzzy logic and the competence that is needed to apply them to the solution of real-world problems.

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