An Introduction to Fuzzy Logic and Fuzzy Sets / Edition 1

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This book is an excellent starting point for any curriculum in fuzzy systems fields such as computer science, mathematics, business/economics and engineering. It covers the basics leading to: fuzzy clustering, fuzzy pattern recognition, fuzzy database, fuzzy image processing, soft computing, fuzzy applications in operations research, fuzzy decision making, fuzzy rule based systems, fuzzy systems modeling, fuzzy mathematics. It is not a book designed for researchers - it is where you really learn the "basics" needed for any of the above-mentioned applications. It includes many figures and problem sets at the end of sections.

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Editorial Reviews

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"A well written book which enables to the reader fundamental orientation in the fuzzy logic. From the educational point of view the book is very well organized. … Majority of chapters begin with several motivation examples and at the end of each chapter there are a lot of solved and unsolved examples. … dedicated to undergraduate students as a textbook. … it may be suitable for readers from the application sphere who are not professionals in fuzzy logic but utilize some fuzzy methods … ." (Petr Vysoky, Neural Network World, Vol. 13 (4), 2003)

"The book is an undergraduate textbook covering as an impressively broad range of topics … . The book is well-written … each of the chapters providing basic definitions, examples, and exercises. … The book is intended as an introductory textbook on the theory of fuzzy sets, functioning as the basis for a curriculum in fuzzy systems. … I would recommend the book to the reader who wants to get an introductory overview of how much of mathematics can be fuzzified." (Marc Pauly, Expert Update, Vol. 5 (2), 2002)

"This book is an undergraduate introduction to the theory of fuzzy sets, giving basic information for beginners. … Each chapter ends with a set of relevant problems and exercises. … The book can be recommended as a good textbook for students and beginners in computer science, engineering or economics interested in non-probabilistic uncertainty modeling." (R. Mesiar, Zentralblatt MATH, Vol. 985, 2002)

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Product Details

Table of Contents

1 Introduction.- 2 Logic.- 3 Fuzzy Sets.- 4 Fuzzy Numbers.- 5 Fuzzy Equations.- 6 Fuzzy Inequalities.- 7 Fuzzy Relations.- 8 Fuzzy Functions.- 9 Fuzzy Plane Geometry.- 10 Fuzzy Trigonometry.- 11 Systems of Fuzzy Linear Equations.- 12 Possibility Theory.- 13 Neural Nets.- 14 Approximate Reasoning.- 15 Genetic Algorithms.- 16 Fuzzy Optimization.- List of Figures.- List of Tables.

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