Introduction to Fuzzy Logic using MATLAB

By: S.N. Sivanandam, S. Sumathi, S. N. Deepa

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Hardcover | 3 November 2006

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448 Pages

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25.4 x 17.15 x 1.91

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Fuzzy Logic, at present is a hot topic, among academicians as well various programmers. This book is provided to give a broad, yet an in-depth overview of the filed of Fuzzy Logic. The basic principles of Fuzzy Logic are discussed in detail with various solved examples. The different approaches and solutions to the problems given in the book are well balanced and pertinent to the Fuzzy Logic research projects. The applications of Fuzzy Logic are also dealt to make the readers understand the concept of Fuzzy Logic. The solutions to the problems are programmed using MATLAB 6.0 and the simulated results are given. The MATLAB Fuzzy Logic toolbox is provided for easy reference.

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"This book constitutes a comprehensive and didactically appealing introduction to the essentials of fuzzy sets, fuzzy logic and their applications. The exposition of the material is presented in the commonly encountered computational framework of MATLAB. ... The didactic value of the book is very good. ... Examples and exercises are definitely a strong feature of the book ... . Overall, the book can be regarded as an excellent introductory text to all newcomers to fuzzy sets interested in their fundamentals and applications." (Witold Pedrycz, Zentralblatt MATH, Vol. 1109 (11), 2007)

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You Can Find This Book In

Non-Fiction Mathematics Mathematical Foundation Mathematical Logic Computing & I.T.Business Applications Mathematical & Statistical Software Applied Mathematics Graphical & Digital Media Applications Computer Science Computer Architecture & Logic Design Computer Programming & Software Development

Algorithms & Data Structures Engineering & Technology Technology in General Maths for Engineers Artificial Intelligence Computer Vision

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Paperback

Published: 14th October 2010

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Introduction	p. 1
Fuzzy Logic	p. 1
Mat LAB - An Overview	p. 6
Classical Sets and Fuzzy Sets	p. 11
Introduction	p. 11
Classical Set	p. 11
Operations on Classical Sets	p. 12
Properties of Classical Sets	p. 14
Mapping of Classical Sets to a Function	p. 16
Solved Examples	p. 17
Fuzzy Sets	p. 19
Fuzzy Set Operations	p. 20
Properties of Fuzzy Sets	p. 22
Solved Examples	p. 23
Classical and Fuzzy Relations	p. 37
Introduction	p. 37
Cartesian Product of Relation	p. 37
Classical Relations	p. 38
Cardinality of Crisp Relation	p. 39
Operations on Crisp Relation	p. 39
Properties of Crisp Relations	p. 40
Composition	p. 40
Fuzzy Relations	p. 41
Cardinality of Fuzzy Relations	p. 41
Operations on Fuzzy Relations	p. 42
Properties of Fuzzy Relations	p. 42
Fuzzy Cartesian Product and Composition	p. 43
Tolerance and Equivalence Relations	p. 51
Crisp Relation	p. 51
Fuzzy Relation	p. 53
Solved Examples	p. 53
Membership Functions	p. 73
Introduction	p. 73
Features of Membership Function	p. 73
Classification of Fuzzy Sets	p. 75
Fuzzification	p. 76
Membership Value Assignments	p. 76
Intuition	p. 77
Inference	p. 78
Rank Ordering	p. 80
Angular Fuzzy Sets	p. 80
Neural Networks	p. 81
Genetic Algorithm	p. 84
Inductive Reasoning	p. 84
Solved Examples	p. 85
Defuzzification	p. 95
Introduction	p. 95
Lambda Cuts for Fuzzy Sets	p. 95
Lambda Cuts for Fuzzy Relations	p. 96
Defuzzification Methods	p. 96
Solved Examples	p. 101
Fuzzy Rule-Based System	p. 113
Introduction	p. 113
Formation of Rules	p. 113
Decomposition of Rules	p. 115
Aggregation of Fuzzy Rules	p. 117
Properties of Set of Rules	p. 117
Fuzzy Inference System	p. 118
Construction and Working of Inference System	p. 118
Fuzzy Inference Methods	p. 119
Mamdani's Fuzzy Inference Method	p. 120
Takagi-Sugeno Fuzzy Method (TS Method)	p. 123
Comparison Between Sugeno and Mamdani Method	p. 126
Advantages of Sugeno and Mamdani Method	p. 127
Solved Examples	p. 127
Fuzzy Decision Making	p. 151
Introduction	p. 151
Fuzzy Ordering	p. 151
Individual Decision Making	p. 153
Multi-Person Decision Making	p. 153
Multi-Objective Decision Making	p. 154
Fuzzy Bayesian Decision Method	p. 155
Applications of Fuzzy Logic	p. 157
Fuzzy Logic in Power Plants	p. 157
Fuzzy Logic Supervisory Control for Coal Power Plant	p. 157
Fuzzy Logic Applications in Data Mining	p. 166
Adaptive Fuzzy Partition in Data Base Mining: Application to Olfaction	p. 166
Fuzzy Logic in Image Processing	p. 172
Fuzzy Image Processing	p. 172
Fuzzy Logic in Biomedicine	p. 200
Fuzzy Logic-Based Anesthetic Depth Control	p. 200
Fuzzy Logic in Industrial and Control Applications	p. 204
Fuzzy Logic Enhanced Control of an AC Induction Motor with a DSP	p. 204
Truck Speed Limiter Control by Fuzzy Logic	p. 210
Analysis of Environmental Data for Traffic Control Using Fuzzy Logic	p. 217
Optimization of a Water Treatment System Using Fuzzy Logic	p. 223
Fuzzy Logic Applications in Industrial Automation	p. 231
Fuzzy Knowledge-Based System for the Control of a Refuse Incineration Plant Refuse Incineration	p. 243
Application of Fuzzy Control for Optimal Operation of Complex Chilling Systems	p. 250
Fuzzy Logic Control of an Industrial Indexing Motion Application	p. 255
Fuzzy Logic in Automotive Applications	p. 264
Fuzzy Antilock Brake System	p. 264
Antilock-Braking System and Vehicle Speed Estimation Using Fuzzy Logic	p. 269
Application of Fuzzy Expert System	p. 277
Applications of Hybrid Fuzzy Expert Systems in Computer Networks Design	p. 277
Fuzzy Expert System for Drying Process Control	p. 288
A Fuzzy Expert System for Product Life Cycle Management	p. 295
A Fuzzy Expert System Design for Diagnosis of Prostate Cancer	p. 304
The Validation of a Fuzzy Expert System for Umbilical Cord Acid-Base Analysis	p. 309
A Fuzzy Expert System Architecture Implementing Onboard Planning and Scheduling for Autonomous Small Satellite	p. 313
Fuzzy Logic Applications in Power Systems	p. 321
Introduction to Power System Control	p. 321
Fuzzy Logic in Control	p. 343
Fuzzy Logic Controller	p. 343
Automatic Generation Control Using Fuzzy Logic Controllers	p. 356
Fuzzy Pattern Recognition	p. 359
Multifeature Pattern Recognition	p. 367
Fuzzy Logic Projects with Matlab	p. 369
Fuzzy Logic Control of a Switched Reluctance Motor	p. 369
Motor	p. 370
Motor Simulation	p. 370
Current Reference Setting	p. 371
Choice of the Phase to be Fed	p. 373
Modelling and Fuzzy Control of DC Drive	p. 375
Linear Model of DC Drive	p. 376
Using PSB to Model the DC Drive	p. 378
Fuzzy Controller of DC Drive	p. 378
Results	p. 380
Fuzzy Rules for Automated Sensor Self-Validation and Confidence Measure	p. 380
Preparation of Membership Functions	p. 382
Fuzzy Rules	p. 383
Implementation	p. 384
FLC of Cart	p. 387
A Simple Fuzzy Excitation Control System (AVR) in Power System Stability Analysis	p. 392
Transient Stability Analysis	p. 393
Automatic Voltage Regulator	p. 393
Fuzzy Logic Controller Results Applied to a One Synchronous Machine System	p. 394
Fuzzy Logic Controller in an 18 Bus Bar System	p. 396
A Low Cost Speed Control System of Brushless DC Motor Using Fuzzy Logic	p. 398
Proposed System	p. 399
Fuzzy Inference System	p. 401
Experimental Result	p. 402
Fuzzy Logic in Matlab	p. 409
References	p. 419
Table of Contents provided by Ingram. All Rights Reserved.

Introduction to Fuzzy Logic using MATLAB

At a Glance

Hardcover

Industry Reviews

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How to return your order

Defective items

You Can Find This Book In

Other Editions and Formats

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