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" Extension of the fuzzy sugeno integral based on generalized type-2 fuzzy logic / "
Patricia Melin, Gabriela E. Martinez.
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BL
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| Record Number
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861569
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| Main Entry
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Melin, Patricia,1962-
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| Title & Author
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Extension of the fuzzy sugeno integral based on generalized type-2 fuzzy logic /\ Patricia Melin, Gabriela E. Martinez.
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| Publication Statement
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Cham :: Springer,, 2019.
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| Series Statement
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Springerbriefs in applied sciences and technology
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1 online resource
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| ISBN
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3030164160
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: 9783030164164
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3030164152
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9783030164157
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| Contents
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Intro; Preface; Contents; List of Figures; List of Tables; Keywords; 1 Introduction totheType-2 Fuzzy Sugeno Integral; References; 2 Basic Theory fortheType-2 Fuzzy Sugeno Integral; 2.1 Fuzzy Logic; 2.1.1 Type-1 Fuzzy Sets; 2.1.2 Type-2 Fuzzy Sets; 2.1.3 Generalized Type-2 Fuzzy Logic; 2.2 Fuzzy Measures andtheSugeno Integral; 2.2.1 Sugeno Measures; 2.2.2 Sugeno Integral; 2.2.3 Fuzzy Measures andSugeno Integral forInterval Type-2 Fuzzy Sets; 2.3 Edge Detection; 2.3.1 Edge Detector Based onGradient; 2.4 Modular Neural Network; 2.4.1 Methodology forFace Recognition
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2.4.2 Face Databases2.4.3 Pre-processing withtheMorphological Gradient (MG) Edge Detector; 2.4.4 Cross Validation Method; 2.4.5 Training oftheMNN; 2.4.6 Experiment; References; 3 Proposed Method fortheType-2 Fuzzy Sugeno Integral; 3.1 Generalized Interval Type-2 Sugeno Integral; References; 4 Simulation Results oftheType-2 Fuzzy Sugeno Integral; 4.1 Morphological Gradient Edge Detector Using GT2SI (MG + GT2SI); 4.2 GT2SI inModular Neural Networks (GT2SI + MNN); 4.2.1 Simulation Results Using ORL Database; 4.2.2 Simulation Results Using Cropped Yale Database
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4.2.3 Comparison ofResults withOther Aggregation OperatorsReferences; 5 Conclusions andFuture Work ontheGeneralized Type-2 Fuzzy Sugeno Integral; References; Appendix A; Pseudocode of the Sugeno Integral; Pseudocode of the Generalized Type-2 Sugeno Integral; Appendix B; Outline placeholder; A. Function to Define the Sugeno Integral; B. Function to Define the GT2SI Edge Detector; C. Function to Define the Interval Type-2 Sugeno Integral for Three Modules of a MNN using MG Edge Detector in the Preprocessing; Index
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| Abstract
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This book presents an extension of the aggregation operator of the generalized interval type-2 Sugeno integral using generalized type-2 fuzzy logic. This extension enables it to handle higher levels of uncertainty when adding any number of sources and types of information in a wide variety of decision-making applications. The authors also demonstrate that the extended aggregation operator offers better performance than other traditional or extended operators. The book is a valuables reference resource for students and researchers working on theory and applications of fuzzy logic in various areas of application where decision making is performed under high levels of uncertainty, such as pattern recognition, time series prediction, intelligent control and manufacturing.
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Fuzzy logic.
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Fuzzy logic.
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MATHEMATICS-- General.
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| Dewey Classification
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511.3
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| LC Classification
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QA9.64
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| Added Entry
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Martinez, Gabriela E.
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