Learners Guide to Fuzzy Logic Systems, Second Edition

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.

Table des matières

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

A propos de l'auteur

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.

Résumé

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.

Détails du produit

• Auteurs: K Sundareswaran, K. Sundareswaran
• Edition: Taylor & Francis Ltd.
• Langues: Anglais
• Format d'édition: Livre Relié
• Sortie: 25.06.2019
• EAN: 9780367254438
• ISBN: 978-0-367-25443-8
• Pages: 108
• Catégories: Sciences naturelles, médecine, informatique, technique > Technique > Technique calorifique et énergétique, centrales énergétiques; MATHEMATICS / General, TECHNOLOGY & ENGINEERING / Electronics / General, TECHNOLOGY & ENGINEERING / Electrical, Automatic control engineering, Neural networks and fuzzy systems, Neural networks & fuzzy systems