Fuzzy Intelligent Systems: Methodologies, Techniques, and Applications
- Length: 480 pages
- Edition: 1
- Language: English
- Publisher: Wiley-Scrivener
- Publication Date: 2021-09-08
- ISBN-10: 1119760453
- ISBN-13: 9781119760450
- Sales Rank: #0 (See Top 100 Books)
Fuzzy Intelligent Systems: Methodologies, Techniques and Applications comprises state-of-the-art chapters detailing how expert systems are built and the fuzzy logic resembling human reasoning powering them. Hybrid and neuro-fuzzy intelligent systems are discussed along with Evolutionary and, in particular, Genetic Algorithms. This approach has been extended by using Multiobjective Evolutionary Algorithms, which can consider multiple conflicting objectives instead of a single one. The book also discusses the hybridization between Multiobjective Evolutionary Algorithms and Fuzzy Systems which is known as Multiobjective Evolutionary Fuzzy Systems.
Cover Title Page Copyright Preface 1 Fuzzy Fractals in Cervical Cancer 1.1 Introduction 1.2 Methods 1.3 Maximum Modulus Theorem 1.4 Results 1.5 Conclusion References 2 Emotion Detection in IoT-Based E-Learning Using Convolution Neural Network 2.1 Introduction 2.2 Related Works 2.3 Proposed Methodology 2.4 Experimental Results 2.5 Conclusions References 3 Fuzzy Quotient-3 Cordial Labeling of Some Trees of Diameter 5—Part III 3.1 Introduction 3.2 Related Work 3.3 Definition 3.4 Notations 3.5 Main Results 3.6 Conclusion References 4 Classifying Fuzzy Multi-Criterion Decision Making and Evolutionary Algorithm 4.1 Introduction 4.2 Multiple Criteria That is Used for Decision Making (MCDM) 4.3 Conclusion References 5 Fuzzy Tri-Magic Labeling of Isomorphic Caterpillar Graph of Diameter 5 5.1 Introduction 5.2 Main Result 5.3 Conclusion References 6 Fuzzy Tri-Magic Labeling of Isomorphic Caterpillar Graph of Diameter 5 6.1 Introduction 6.2 Main Result 6.3 Conclusion References 7 Ceaseless Rule-Based Learning Methodology for Genetic Fuzzy Rule-Based Systems 7.1 Introduction 7.2 Existing Technology and its Review 7.3 Research Design 7.4 Findings or Result Discussion so for in the Area of GFS Hybridization 7.5 Conclusion References 8 Using Fuzzy Technique Management of Configuration and Status of VM for Task Distribution in Cloud System 8.1 Introduction 8.2 Literature Review 8.3 Logic System for Fuzzy 8.4 Proposed Algorithm 8.5 Results of Simulation 8.6 Conclusion References 9 Theorems on Fuzzy Soft Metric Spaces 9.1 Introduction 9.2 Preliminaries 9.3 FSMS 9.4 Main Results 9.5 Fuzzy Soft –Contractive Type Mappings and – Admissible Mappings References 10 Synchronization of Time-Delay Chaotic System with Uncertainties in Terms of Takagi–Sugeno Fuzzy System 10.1 Introduction 10.2 Statement of the Problem and Notions 10.3 Main Result 10.4 Numerical Illustration 10.5 Conclusion References 11 Trapezoidal Fuzzy Numbers (TrFN) and its Application in Solving Assignment Problem by Hungarian Method: A New Approach 11.1 Introduction 11.2 Preliminary 11.3 Theoretical Part 11.4 Application With Discussion 11.5 Conclusion and Further Work References 12 The Connectedness of Fuzzy Graph and the Resolving Number of Fuzzy Digraph 12.1 Introduction 12.2 Definitions 12.3 An Algorithm to Find the Super Resolving Matrix 12.4 An Application of the Connectedness of the Modified Fuzzy Graph in Rescuing Human Life From Fire Accident 12.5 Resolving Number Fuzzy Graph and Fuzzy Digraph 12.6 Conclusion References 13 A Note on Fuzzy Edge Magic Total Labeling Graphs 13.1 Introduction 13.2 Preliminaries 13.3 Theorem 13.4 Theorem 13.5 Theorem 13.6 Theorem 13.7 Theorem 13.8 Theorem 13.9 Theorem 13.10 Application of Fuzzy Edge Magic Total Labeling 13.11 Conclusion References 14 The Synchronization of Impulsive Time-Delay Chaotic Systems with Uncertainties in Terms of Takagi–Sugeno Fuzzy System 14.1 Introduction 14.2 Problem Description and Preliminaries 14.3 The T–S Fuzzy Model 14.4 Designing of Fuzzy Impulsive Controllers 14.5 Main Result 14.6 Numerical Example 14.7 Conclusion References 15 Theorems on Soft Fuzzy Metric Spaces by Using Control Function 15.1 Introduction 15.2 Preliminaries and Definition 15.3 Main Results 15.4 Conclusion References 16 On Soft α(γ,β)-Continuous Functions in Soft Topological Spaces 16.1 Introduction 16.2 Preliminaries 16.3 Soft α(γ,β)-Continuous Functions in Soft Topological Spaces 16.4 Conclusion References Index End User License Agreement
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