The book is an introduction to the field of fuzzy logic. It covers Approach to artificial intelligence, artificial neural network systems, fuzzy systems, hybrid intelligent systems. The book is also suitable as a self-study guide for non-computer science professionals. For them, the book provides access to the fuzzy systems. In fact, this book is aimed at a large professional audience: engineers and scientists, managers and businessmen, doctors and everyone who faces challenging problems and cannot solve them by using traditional approaches, everyone who wants to understand the tremendous achievements in fuzzy control systems. The book will help to develop a practical understanding of what fuzzy systems can and cannot do; you'll master all these key techniques:
ØNeural Networks, Genetic Algorithms
ØFuzzy arithmetic
ØMembership functions
ØFuzzy relation
ØDefuzzification
ØFuzzy rule based & Inference
ØFuzzy Control
ØANFIS: Adaptive-Network-Based Fuzzy Inference System
ØApplications of fuzzy with Case Study Of...
Content
ØChapter 1. Neural Networks
ØChapter 7. Extension Principle and Logic
ØChapter 2. Introduction to Fuzzy..
ØChapter 8. Fuzzy Rule Based and Inference....
ØChapter 3. Fuzzy Arithmetic
ØChapter 4. Fuzzy Relations
ØChapter 5. Membership Functions
ØChapter 6. Defuzzificiation
ØChapter 11. ANFIS: Adaptive-network-based Fuzzy Inference System
