Hybrid Algorithms, Techniques and Implementations of Fuzzy Logic
Published on 30. January 2019
268 pages
978-1-77361-581-3 (ISBN)
Description
Hybrid algorithms, techniques and implementations of fuzzy logic studies various aspects of Fuzzy logic including an extensive overview of hybrid algorithms, techniquesand implementations. It includes definitions of evolutionary computation and fuzzy systems,ideologies and strategies. This book provides the reader with insights into the developmentof its knowledge, so as to understand the applications and implementationsof fuzzy logic using hybrid algorithms.
More details
Content
- Cover
- Half Title Page
- Title Page
- Copyright Page
- About the Author
- Table of Contents
- List of Figures
- List of Tables
- Preface
- Chapter 1 Introduction
- 1.1. Emergence and Development of Fuzzy Logic
- 1.2. Characterization of Fuzzy Logic
- 1.3. Basic Concepts of Fuzzy Logic
- 1.4. Some Examples of Practical Applications
- 1.5. Advantages and Disadvantages
- Chapter 2 Combining Evolutionary Computation And Fuzzy Systems
- 2.1. Introduction
- 2.2. Preliminaries
- 2.3. Genetic Algorithms
- 2.4. Genetic Fuzzy Systems
- 2.5. Final Considerations
- Chapter 3 Implementations of Fuzzy Logic In Everyday Life
- 3.1. Classical Logic vs. Fuzzy Logic
- 3.2. Representation of Fuzzy Sets
- 3.3. Applications of Fuzzy Logic
- 3.4. Fuzzy Sets
- 3.5. Fuzzy Inference
- 3.6. Fuzzy Models Used In Control of Processes
- 3.7. Fuzzy Model Generation
- 3.8. Tests and Results
- Chapter 4 Hybrid Fuzzy Methods in Archaeological Typologies
- 4.1. Introduction: Fuzzy Logic and Its Application in Archeology
- 4.2. The Case Study
- 4.3. Summary And Conclusions
- Chapter 5 Fuzzy Decision Trees
- 5.1. Explanation of Fuzzy Decision Trees
- 5.2. The Tree Product
- Chapter 6 Using Hybrid Fuzzy Logic Methods To Generate Membership Functions In Matlab
- 6.1. Introduction
- 6.2. Feature Type Function Generation Left Shoulder
- 6.3. Feature Function Generation Pi Type
- 6.4. Matlab Programs
- Chapter 7 Other Hybrid Fuzzy Concepts and Their Applications
- 7.1. Introduction
- 7.2. Modeling Fuzzy Systems And Processes
- 7.3. Fuzzy Control Systems
- 7.4. Example of A Development Tool
- 7.5. Application Examples of Hybrid Fuzzy Logic Method
- Chapter 8 Practical Applications Of Hybrid Fuzzy Systems
- 8.1. Case Study: Expert Systems
- Chapter 9 Hybrid Neural-Fuzzy Network Systems
- 9.1 Introduction to Neural Networks
- 9.2. Hybridization With Fuzzy Systems
- 9.3. Introduction to Neuro-Fuzzy Systems
- Chapter 10 Hybrid Model Using Intelligent Software Agents and Fuzzy Logic In Power Transmission Systems
- 10.1. Introduction
- 10.2. Definition of The Problem
- 10.3. General And Specific Objectives of Hybridization of Fuzzy Logic
- 10.4. Power Transmission System
- 10.5. Reliability Of Information Depending on The Source
- 10.6. Using Conventional Algorithms And Genetic Algorithms
- 10.7. Fuzzy Inference Model To Assess The Reliability of Digital Sources
- Chapter 11 Final Considerations and Conclusions
- 11.1. Possible Applications
- 11.2. Conclusions
- References
- Index
