000			04161cam a2200409Mi 4500
001			on1085171893
003			OCoLC
005			20240726104806.0
008			190209s2019 onca ob 001 0 eng d
040			_aEBLCP _beng _epn _erda _cEBLCP _dYDX _dOCLCQ _dUKAHL _dNT _dOCLCO
020			_a9781773615813 _q((electronic)l(electronic)ctronic)
050	0	4	_aQA9 _b.H937 2019
049			_aMAIN
100	1		_aStanimirović, Ivan, _e1
245	1	0	_aHybrid algorithms, techniques and implementations of fuzzy logic /Ivan Stanimirović.
260			_aAOakville, ON, Canada : _bArcler Press, _c(c)2019.
300			_a1 online resource (268 pages) : _bcolor illustrations
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_adata file _2rda
520	0		_aStudies 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	0	_aCover; 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	0	0	_a3.1. 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	0	0	_aChapter 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	0	0	_aChapter 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	0	0	_a10.7. Fuzzy Inference Model To Assess The Reliability of Digital SourcesChapter 11 Final Considerations and Conclusions; 11.1. Possible Applications; 11.2. Conclusions.
504			_a2
530			_a2 _ub
650		0	_aFuzzy logic.
650		0	_aFuzzy algorithms.
655		1	_aElectronic Books.
856	4	0	_zClick to access digital title | log in using your CIU ID number and my.ciu.edu password. _uhttpss://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2013884&site=eds-live&custid=s3260518
942			_cOB _D _eEB _hQA. _m2019 _QOL _R _x _8NFIC _2LOC
994			_a92 _bNT
999			_c78395 _d78395
902			_a1 _bCynthia Snell _c1 _dCynthia Snell