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A Learner’s Guide to Fuzzy Logic Systems, Second Edition - K Sundareswaran

A Learner’s Guide to Fuzzy Logic Systems, Second Edition

(Autor)

Buch | Hardcover
108 Seiten
2019
CRC Press (Verlag)
978-0-367-25443-8 (ISBN)
CHF 95,95 inkl. MwSt
This book presents a very introductory coverage of the topic of fuzzy logic, including a few basic principles from an interdisciplinary perspective. It includes concept of evolving a fuzzy set and fuzzy set operations, fuzzification rule base design and defuzzification and simple guidelines for fuzzy sets design and selected applications.
This book presents an introductory coverage of fuzzy logic, including basic principles from an interdisciplinary perspective. It includes concept of evolving a fuzzy set and fuzzy set operations, fuzzification rule base design and defuzzification and simple guidelines for fuzzy sets design and selected applications. Preliminary concepts of Neural Networks and Genetic Algorithm are added features with relevant examples and exercises. It is primarily intended for undergraduate and postgraduate students and researchers to facilitate education in the ever-increasing field of fuzzy logic as medium between human intelligence and machine.

Dr. K. Sundareswaran, obtained his M.Tech. (Hons.) in power electronics from the university of Calicut, and Ph.D. from Bharathidasan University, Tiruchirappalli. He is currently working as Professor in the department of Electrical and electronics Engineering, National Institute of Technology, Tiruchirappalli. From 2005 to 2006, he was a Professor with the Department of Electrical Engineering, National Institute of Technology, Calicut, Kerala, India. He is currently a Professor with the Department of Electrical and Electronics Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, India. His research interests include power electronics, renewable energy systems, and biologically inspired optimization techniques.

1. Unravelling Uncertainty Through Simple Examples. 2. Fuzzy Sets. 3. Fuzzy Reasoning. 4. Design Aspects of Fuzzy Systems.

Erscheinungsdatum
Zusatzinfo 14 Tables, black and white; 25 Illustrations, black and white
Verlagsort London
Sprache englisch
Maße 138 x 216 mm
Gewicht 390 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
ISBN-10 0-367-25443-3 / 0367254433
ISBN-13 978-0-367-25443-8 / 9780367254438
Zustand Neuware
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