کتابخانه

Title: Fuzzy Logic with Engineering Applications | Author(s): Timothy J. Ross | Publisher: Wiley | Year: 2017 | Edition: 4th | Language: english | Pages: 574 | ISBN: 9781119235859 | Size: 8 MB | Extension: pdf

 

 

The latest update on this popular textbook

 

The importance of concepts and methods based on fuzzy logic and fuzzy set theory has been rapidly growing since the early 1990s and all the indications are that this trend will continue in the foreseeable future. Fuzzy Logic with Engineering Applications, Fourth Edition is a new edition of the popular textbook with 15% of new and updated material. Updates have been made to most of the chapters and each chapter now includes new end-of-chapter problems.

 

 

Key features:

• New edition of the popular textbook with 15% of new and updated material.
• Includes new examples and end-of-chapter problems.
• Has been made more concise with the removal of out of date material.
• Covers applications of fuzzy logic to engineering and science.
• Accompanied by a website hosting a solutions manual and software.

 

 

The book is essential reading for graduates and senior undergraduate students in civil, chemical, mechanical and electrical engineering as wells as researchers and practitioners working with fuzzy logic in industry.

 

Table of Contents

Cover

Title Page

About the Author

Preface to the Fourth Edition

1 Introduction

The Case for Imprecision

A Historical Perspective

The Utility of Fuzzy Systems

Limitations of Fuzzy Systems

The Illusion: Ignoring Uncertainty and Accuracy

Uncertainty and Information

Fuzzy Sets and Membership

Chance versus Fuzziness

Intuition of Uncertainty: Fuzzy versus Probability

Sets as Points in Hypercubes

Summary

References

Problems

2 Classical Sets and Fuzzy Sets

Classical Sets

Fuzzy Sets

Summary

References

Problems

3 Classical Relations and Fuzzy Relations

Cartesian Product

Crisp Relations

Fuzzy Relations

Tolerance and Equivalence Relations

Fuzzy Tolerance and Equivalence Relations

Value Assignments

Other Forms of the Composition Operation

Summary

References

Problems

4 Properties of Membership Functions, Fuzzification, and Defuzzification

Features of the Membership Function

Various Forms

Fuzzification

Defuzzification to Crisp Sets

λ‐Cuts for Fuzzy Relations

Defuzzification to Scalars

Summary

References

Problems

5 Logic and Fuzzy Systems

Part I: Logic

Classical Logic

Fuzzy Logic

Part II: Fuzzy Systems

Summary

References

Problems

6 Historical Methods of Developing Membership Functions

Membership Value Assignments

Intuition

Inference

Rank Ordering

Neural Networks

Genetic Algorithms

Inductive Reasoning

Summary

References

Problems

7 Automated Methods for Fuzzy Systems

Definitions

Batch Least Squares Algorithm

Recursive Least Squares Algorithm

Gradient Method

Clustering Method

Learning from Examples

Modified Learning from Examples

Summary

References

Problems

8 Fuzzy Systems Simulation

Fuzzy Relational Equations

Nonlinear Simulation Using Fuzzy Systems

Fuzzy Associative Memories (FAMs)

Summary

References

Problems

9 Decision Making with Fuzzy Information

Fuzzy Synthetic Evaluation

Fuzzy Ordering

Nontransitive Ranking

Preference and Consensus

Multiobjective Decision Making

Fuzzy Bayesian Decision Method

Decision Making under Fuzzy States and Fuzzy Actions

Summary

References

Problems

10 Fuzzy Classification and Pattern Recognition

Fuzzy Classification

Classification by Equivalence Relations

Cluster Analysis

Cluster Validity

c‐Means Clustering

Hard c‐Means (HCM)

Fuzzy c‐Means (FCM)

Classification Metric

Hardening the Fuzzy c‐Partition

Similarity Relations from Clustering

Fuzzy Pattern Recognition

Single‐Sample Identification

Multifeature Pattern Recognition

Summary

References

Problems

11 Fuzzy Control Systems

Control System Design Problem

Examples of Fuzzy Control System Design

Fuzzy Engineering Process Control

Fuzzy Statistical Process Control

Industrial Applications

Summary

References

Problems

12 Applications of Fuzzy Systems Using Miscellaneous Models

Fuzzy Optimization

Fuzzy Cognitive Mapping

Agent‐Based Models

Fuzzy Arithmetic and the Extension Principle

Fuzzy Algebra

Data Fusion

Summary

References

Problems

13 Monotone MeasuresIndex

Monotone Measures

Belief and Plausibility

Evidence Theory

Probability Measures

Possibility and Necessity Measures

Possibility Distributions as Fuzzy Sets

Possibility Distributions Derived from Empirical Intervals

Summary

References

Problems