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(More customer reviews)I'm quite impressed with the clarity and style of Klir's introduction to fuzzy set theory. The book starts with the absolute basics of classical logic and then builds to classical set theory. This half of the book is actually far superior to any of my other logic books since it puts all the truely relevant material together in a very cogent manner.
The second half of the book goes into the details of fuzzy logic and set theory while maintaining the easy style and excellent examples of the previous sections. This book, while intended as a textbook, is quite readable for those who just wish to have better knowledge of fuzzy logic. I suspect that many of the Aristotelian-based classical logicians will be hard-pressed to surpass Klir's clear explanations for their home turf.
Klir delves into the philosophical basis for the existence of fuzzy logic and I feel he does an excellent job. Haack should really read this again and then reconsider her grand statement that "I believe truth does not come in degrees" with some of the open-mindedness evidenced by Klir.
Highly recommended.
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Fuzzy Set Theory: Foundations and ApplicationsThis book is designed to help anyone understand the basics of fuzzy sets, whether or not they have a mathematical background.The book first presents a basic grounding in information theory, classical logic and set theories. Next, it introduces the basics of fuzzy sets, distinguishing them from traditional crisp sets, and introducing the concept of membership function. The distinctions between classical and fuzzy relations are introduced, as are representations of fuzzy relations; fuzzy equivalence relations; fuzzy partial orderings, and related topics. The book introduces fuzzy arithmetic and fuzzy numbers. It also presents a detailed introduction to fuzzy logic, multivalued logics, fuzzy propositions, quantifiers, linguistic hedges and approximate reasoning. Several basic and advanced applications for fuzzy set theory are presented as well.Any non-technical reader interested in fuzzy sets and fuzzy logic. Also ideal for introductory level-students, whether they are planning a technical or non-technical course of study.

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