Hybrid algorithms, techniques and implementations of fuzzy logic /:
Studies various aspects of Fuzzy logic including an extensive overview of hybrid algorithms, techniques and implementations. It includes definitions of evolutionary computation and fuzzy systems, ideologies and strategies. This book provides the reader with insights into the development of its knowl...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
AOakville, ON, Canada :
Arcler Press,
2019.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Studies various aspects of Fuzzy logic including an extensive overview of hybrid algorithms, techniques and implementations. It includes definitions of evolutionary computation and fuzzy systems, ideologies and strategies. This book provides the reader with insights into the development of its knowledge, so as to understand the applications and implementations of fuzzy logic using hybrid algorithms. |
| Beschreibung: | 1 online resource (268 pages) : color illustrations |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781773615813 1773615815 |
Internformat
MARC
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| 520 | |a Studies various aspects of Fuzzy logic including an extensive overview of hybrid algorithms, techniques and implementations. It includes definitions of evolutionary computation and fuzzy systems, ideologies and strategies. This book provides the reader with insights into the development of its knowledge, so as to understand the applications and implementations of fuzzy logic using hybrid algorithms. | ||
| 505 | 0 | |a 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 | |
| 505 | 8 | |a 3.1. Classical Logic vs. Fuzzy Logic3.2. 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 | |
| 505 | 8 | |a Chapter 6 Using Hybrid Fuzzy Logic Methods To Generate Membership Functions In Matlab6.1. 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 | |
| 505 | 8 | |a Chapter 9 Hybrid Neural-Fuzzy Network Systems9.1 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 | |
| 505 | 8 | |a 10.7. Fuzzy Inference Model To Assess The Reliability of Digital SourcesChapter 11 Final Considerations and Conclusions; 11.1. Possible Applications; 11.2. Conclusions. | |
| 504 | |a Includes bibliographical references and index. | ||
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| author | Stanimirović, Ivan |
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| contents | 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 Logic3.2. 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 Matlab6.1. 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 Systems9.1 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 SourcesChapter 11 Final Considerations and Conclusions; 11.1. Possible Applications; 11.2. Conclusions. |
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| spelling | Stanimirović, Ivan, author. http://id.loc.gov/authorities/names/nb2018021792 Hybrid algorithms, techniques and implementations of fuzzy logic / Ivan Stanimirović. AOakville, ON, Canada : Arcler Press, 2019. 1 online resource (268 pages) : color illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Studies various aspects of Fuzzy logic including an extensive overview of hybrid algorithms, techniques and implementations. It includes definitions of evolutionary computation and fuzzy systems, ideologies and strategies. This book provides the reader with insights into the development of its knowledge, so as to understand the applications and implementations of fuzzy logic using hybrid algorithms. 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 Logic3.2. 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 Matlab6.1. 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 Systems9.1 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 SourcesChapter 11 Final Considerations and Conclusions; 11.1. Possible Applications; 11.2. Conclusions. Includes bibliographical references and index. Fuzzy logic. http://id.loc.gov/authorities/subjects/sh93006704 Fuzzy algorithms. http://id.loc.gov/authorities/subjects/sh85052624 Logique floue. Algorithmes flous. Fuzzy algorithms fast Fuzzy logic fast has work: Hybrid algorithms, techniques and implementations of fuzzy logic (Text) https://id.oclc.org/worldcat/entity/E39PCGfDyBbP6Tbvm74jt9mwFq https://id.oclc.org/worldcat/ontology/hasWork FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2013884 Volltext |
| spellingShingle | Stanimirović, Ivan Hybrid algorithms, techniques and implementations of fuzzy logic / 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 Logic3.2. 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 Matlab6.1. 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 Systems9.1 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 SourcesChapter 11 Final Considerations and Conclusions; 11.1. Possible Applications; 11.2. Conclusions. Fuzzy logic. http://id.loc.gov/authorities/subjects/sh93006704 Fuzzy algorithms. http://id.loc.gov/authorities/subjects/sh85052624 Logique floue. Algorithmes flous. Fuzzy algorithms fast Fuzzy logic fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh93006704 http://id.loc.gov/authorities/subjects/sh85052624 |
| title | Hybrid algorithms, techniques and implementations of fuzzy logic / |
| title_auth | Hybrid algorithms, techniques and implementations of fuzzy logic / |
| title_exact_search | Hybrid algorithms, techniques and implementations of fuzzy logic / |
| title_full | Hybrid algorithms, techniques and implementations of fuzzy logic / Ivan Stanimirović. |
| title_fullStr | Hybrid algorithms, techniques and implementations of fuzzy logic / Ivan Stanimirović. |
| title_full_unstemmed | Hybrid algorithms, techniques and implementations of fuzzy logic / Ivan Stanimirović. |
| title_short | Hybrid algorithms, techniques and implementations of fuzzy logic / |
| title_sort | hybrid algorithms techniques and implementations of fuzzy logic |
| topic | Fuzzy logic. http://id.loc.gov/authorities/subjects/sh93006704 Fuzzy algorithms. http://id.loc.gov/authorities/subjects/sh85052624 Logique floue. Algorithmes flous. Fuzzy algorithms fast Fuzzy logic fast |
| topic_facet | Fuzzy logic. Fuzzy algorithms. Logique floue. Algorithmes flous. Fuzzy algorithms Fuzzy logic |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2013884 |
| work_keys_str_mv | AT stanimirovicivan hybridalgorithmstechniquesandimplementationsoffuzzylogic |