First Course on Fuzzy Theory and Applications

Häftad, Engelska, 2004

Del i serien Advances in Intelligent and Soft Computing

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2004-10-07
Mått:155 x 235 x 19 mm
Vikt:498 g
Format:Häftad
Språk:Engelska
Serie:Advances in Intelligent and Soft Computing
Antal sidor:335
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783540229889

Utforska kategorier

Artificiell intelligens inom Data och IT

Recensioner i media

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)

Innehållsförteckning

Fuzzy Sets.- The Operation of Fuzzy Set.- Fuzzy Relation and Composition.- Fuzzy Graph and Relation.- Fuzzy Number.- Fuzzy Function.- Probabilisy and Uncertainty.- Fuzzy Logic.- Fuzzy Inference.- Fuzzy Control and Fuzzy Expert Systems.- Fusion of Fuzzy System and Neural Networks.- Fusion of Fuzzy Systems and Genetic Algorithms.