Fuzzy Logic - Algorithms, Techniques and Implementations

293 Pages·2012·10.28 MB·English

by  Elmer P. Dadios

FUZZY LOGIC
ALGORITHMS, TECHNIQUES
AND IMPLEMENTATIONS

Edited by Elmer P. Dadios
FUZZY LOGIC –
ALGORITHMS, TECHNIQUES
AND IMPLEMENTATIONS

Edited by Elmer P. Dadios
Fuzzy Logic – Algorithms, Techniques and Implementations
Edited by Elmer P. Dadios

Published by InTech
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Copyright © 2012 InTech
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First published March, 2012
Printed in Croatia

A free online edition of this book is available at www.intechopen.com
Additional hard copies can be obtained from [email protected]

Fuzzy Logic – Algorithms, Techniques and Implementations, Edited by Elmer P. Dadios
p. cm.
ISBN 978-953-51-0393-6

Contents

Preface IX
Part 1 Hybrid Fuzzy Logic Algorithms 1
Chapter 1 Ambiguity and Social Judgment:
Fuzzy Set Model and Data Analysis 3
Kazuhisa Takemura
Chapter 2 From Fuzzy Datalog to
Multivalued Knowledge-Base 25
Agnes Achs
Chapter 3 Resolution Principle and Fuzzy Logic 55
Hashim Habiballa
Chapter 4 Standard Fuzzy Sets and some Many-Valued Logics 75
Jorma K. Mattila
Chapter 5 Parametric Type-2 Fuzzy Logic Systems 97
Arturo Tellez, Heron Molina, Luis Villa,
Elsa Rubio and Ildar Batyrshin
Chapter 6 Application of Adaptive Neuro Fuzzy Inference
System in Supply Chain Management Evaluation 115
Thoedtida Thipparat
Chapter 7 Fuzzy Image Segmentation
Algorithms in Wavelet Domain 127
Heydy Castillejos and Volodymyr Ponomaryov
Part 2 Techniques and Implementation 147
Chapter 8 Fuzzy Logic Approach for QoS Routing Analysis 149
Adrian Shehu and Arianit Maraj
VI Contents

Chapter 9 Term Weighting for
Information Retrieval Using Fuzzy Logic 173
Jorge Ropero, Ariel Gómez, Alejandro Carrasco,
Carlos León and Joaquín Luque
Chapter 10 Artificial Intelligence Techniques of Estimating
of Torque for 8:6 Switched Reluctance Motor 193
Amin Parvizi
Chapter 11 Engine Knock Detection Based on
Computational Intelligence Methods 211
Adriana Florescu, Claudiu Oros and Anamaria Radoi
Chapter 12 Fault Diagnostic of Rotating Machines Based on
Artificial Intelligence: Case Studies of the Centrais Elétricas
do Norte do Brazil S/A – Eletrobras-Eletronorte 239
Marcelo Nascimento Moutinho
Chapter 13 Understanding Driver Car-Following Behavior
Using a Fuzzy Logic Car-Following Model 265
Toshihisa Sato and Motoyuki Akamatsu

Preface

Algorithm is used to define the notion of decidability. It is a set of rules that precisely
defines a sequence of operations. This is essential for computers to process
information. Computer programs contain algorithms that detail specific instructions
a computer should perform to carry out a specified task. The traditional computer
program performs specific instructions sequentially, and uses crisp values of
information which do not support uncertainties. Thus, when a problem is getting
harder and becoming more complex, alternative algorithms are required in order to
obtain accurate solutions. To this date, the quest of discovering new algorithms is in a
race. The fuzzy logic algorithm is one of very strong contender s in this race because
fuzzy logic exhibits reasoning power similar to how humans reason out. Fuzzy logic is
able to process incomplete data and provide approximate solutions to problems other
methods find difficult to solve. Fuzzy logic was first proposed by Lotfi A. Zadeh of the
University of California at Berkeley in 1965. This is based on the idea that humans do
not think in terms of crisp numbers, but rather in terms of concepts. The degree of
membership of an object in a concept may be partial, with an object being partially
related with many concepts. By characterizing the idea of partial membership in
concepts, fuzzy logic is better able to convert natural language control strategies in a
form usable by machines.
This book presents Algorithms, Techniques, and Implementations of fuzzy logic. It is
categorized into two sections, namely:
1. Hybrid Fuzzy Logic Algorithms
2. Techniques and Implementation
In section one, there are seven chapters that focus on hybrid fuzzy logic algorithms
and methodology:
 Ambiguity and Social Judgment: Fuzzy Set Model and Data Analysis
 From Fuzzy Datalog to Multivalued Knowledge-Base
 Resolution Principle and Fuzzy Logic
 Standard Fuzzy Sets and Some Many-Valued Logics
 Parametric Type-2 Fuzzy Logic Systems
X Preface

 Application of Adaptive Neuro Fuzzy Inference System in Supply Chain
Management Evaluation
 Fuzzy Image Segmentation Algorithms in Wavelet Domain
In section two, there are seven chapters that focus on fuzzy logic modeling and
implementations, particularly:
1. Fuzzy Logic Approach for QoS Routing Analysis
2. Term Weighting for Information Retrieval using Fuzzy Logic
3. Artificial Intelligence Techniques of Estimating of Torque for 8:6 Switched
Reluctance Motor
4. Engine Knock Detection Based on Computational Intelligence Methods
5. Fault Diagnostic of Rotating Machines based on Artificial Intelligence: Case
Studies of the Centrais Elétricas do Norte do Brazil S/A - Eletrobras-Eletonorte
6. Understanding Driver Car-Following Behavior Using a Fuzzy Logic Car-
Following Model
The contributions to this book clearly reveal the fuzzy logic models, techniques, and
implementation which are very important for the development of new technologies. I
hope the readers of this book will find it a unique and significant source of knowledge
and reference for the years to come.

Elmer P. Dadios
University Fellow and Full Professor,
Department of Manufacturing Engineering and Management,
De La Salle University,
Philippines