Description
This book is meant for a wide range of readers, especially college and university students wishing to learn basic as well as advanced processes and techniques in Fuzzy systems. It can also be meant for programmers who may be involved in programming based on the Fuzzy system applications. Modern aspects of fuzzy systems have been introduced from the first principles and discussed in an easy manner. So that a beginner can grasp the concepts of Fuzzy logic, fuzzy sets, fuzzy relations, fuzzy reasoning, fuzzy probability, fuzzy expert systems etc. each chapter contains solved example problems and exercise problems.
Table of Contents
Chapter 1: Introduction to Fuzzy System
Chapter 2: Fuzzy Logic
Chapter 3: Classical Sets and Fuzzy Sets
Chapter 4: Fuzzy Relations, Fuzzy Graphs and Fuzzy Arithmetic
Chapter 5: Fuzzy If-then Rules
Chapter 6: Applications of Fuzzy Logic
Chapter 7: Neuro-Fuzzy Systems
Chapter 8: Genetic Algorithm
Chapter 9: Fuzzy Logic and Probability Theory
Chapter 10: Fuzzy Logic and Probability Theory
Chapter 11: Fuzzy Model Identification
Chapter 12:Fuzzy Logic in Database and Information Systems
Chapter 13: Fuzzy Logic and Artificial Intelligence
Chapter 14: Fuzzy Logic and Pattern Recognition
Author
Ikvinderpal Singh
Ikvinderpal Singh, is Lecturer of P.G. Deptt. Of Computer Science & Applications, Khalsa College, Amritsar which is a premier institute in North India. He obtained his MCA with distinction from Guru Nanak Dev University, Amritsar. He has always been excellence right from his student carrer. He has written five books. He brought name for himself when he topped the college in B.Sc. His other areas of interest include Fuzzy systems, digital electronics and java programming.
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