This basic textbook gives an easily accessible introduction to Fuzzy theory and its applications. It provides basic and concrete concepts of the field in a self-contained, condensed and understandable style. This "First Course on Fuzzy Theory and Applications" includes numerous examples, descriptive illustrations and figures of the basic concepts, as well as exercises at the end of each chapter. The author has long time experience in teaching on fuzzy theory and its applications and continuously developed and summarized his didactic lecture notes into this book. This book can be used in introductory graduate and undergraduate courses in Fuzziness and Soft Computing and is recommendable to students, scientists, engineers, or professionals in the field for self-study.
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From the reviews: "This book is published under the Springer series Advances in Soft Computing, which covers a variety of topics, such as fuzzy sets, rough sets, neural networks, and evolutionary computations. ... contains numerous illustrations of the concepts, examples, and exercises at the end of each chapter. ... an excellent book for reference as well as for studying during a course. ... This book is intended for an introductory graduate or advanced undergraduate course ... recommended for students, scientists, engineers and professionals in the field for self-study." (Zachary Richards and Haisam Osman, International Journal of Acoustics and Vibration, Vol. 14 (4), 2009)