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Fuzzy Logic in Intelligent System Design : Theory and Applications.

Author: Patricia Melin; Oscar Castillo; Janusz Kacprzyk; Marek Reformat; William Melek
Publisher: Cham : Springer International Publishing, 2017.
Series: Advances in intelligent systems and computing.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This book describes recent advances in the use of fuzzy logic for the design of hybrid intelligent systems based on nature-inspired optimization and their applications in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. Based on papers presented at the North American Fuzzy Information Processing Society Annual  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Melin, Patricia.
Fuzzy Logic in Intelligent System Design : Theory and Applications.
Cham : Springer International Publishing, ©2017
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Patricia Melin; Oscar Castillo; Janusz Kacprzyk; Marek Reformat; William Melek
ISBN: 9783319671376 3319671375
OCLC Number: 1005611298
Notes: 5 Conclusion.
Description: 1 online resource (420 pages)
Contents: Preface; Contents; Theoretical Aspects of Fuzzy Logic; Can Multi-constraint Fuzzy Optimization Bring Complex Problems in Selecting Optimal Solar Power Generating System into Focus?; Abstract; 1 Introduction; 1.1 Commentary on Solar Power Generating System and Selection; 1.2 Objective; 2 Case Study; 2.1 Expert Knowledgebase; 3 Results and Discussion; 3.1 Similarity Between Experts; 3.2 Multi Constraint Fuzzy Optimization; References; Relating Fuzzy Set Similarity Measures; Abstract; 1 Introduction; 2 Respects for Similarity; 3 Set-Based Similarity; 4 Geometric-Based Similarity. 5 Relating Set and Geometric Similarity6 Conclusions; References; Correlation Measures for Bipolar Rating Profiles; Abstract; 1 Introduction; 2 Finite Bipolar Rating Scales and Bipolar Scoring Functions; 3 General Methods of Construction of Correlation Measures on the Set with Involution; 4 Correlation Measures on the Set of Bipolar Rating Profiles; 5 Conclusions; Acknowledgements; References; Solving Real-World Fuzzy Quadratic Programming Problems by Dual Parametric Approach; Abstract; 1 Introduction; 2 Dual Parametric Approach in Fuzzy Environment; 3 Economic Dispatch Problem. 3.1 Numerical Results and Analysis4 Conclusion; Acknowledgment; References; Type-2 Fuzzy Logic; A Type-2 Fuzzy Hybrid Expert System for Commercial Burglary; Abstract; 1 Introduction; 2 Fuzzy Systems; 3 Problem Description; 4 Designing the Type-2 FLS; 4.1 Determination of Input and Output Variables; 4.2 Feature Selection; 4.3 Determination of the Number of Rules and Clustering the Output Space; 4.4 Projection of Membership Functions of Output onto Input Spaces; 4.5 Tuning the Parameters of Type-1 Membership Functions; 4.6 Transformation Type-1 to Interval Type-2 Membership Functions. 4.7 Tuning the Parameters of Interval Type-2 Membership Functions5 The Proposed IT2 Fuzzy Hybrid Expert System; 6 Performance Evaluation; 7 Conclusion; References; A Type-2 Fuzzy Expert System for Diagnosis of Leukemia; Abstract; 1 Introduction; 1.1 Leukemia; 1.2 Expert System; 1.3 Type-2 Fuzzy; 2 Literature Review; 3 Methodology; 3.1 Leukemia Dataset; 3.2 Determining the Number of Rules; 3.3 The Proposed Type-2 Fuzzy Model; 3.4 Performance Evaluation; 4 Conclusion; References. Comparative Study of Metrics That Affect in the Performance of the Bee Colony Optimization Algorithm Through Interval Type-2 Fuzzy Logic SystemsAbstract; 1 Introduction; 2 Background; 3 Interval Type-2 Fuzzy Systems; 3.1 Fuzzy Logic Controller; 4 Proposed Methods; 5 Simulations Results; 6 Discussion; 7 Conclusions; References; Type-2 Fuzzy Approach in Multi Attribute Group Decision Making Problem; Abstract; 1 Introduction; 2 Basic Concepts of Type2 Fuzzy Sets; 2.1 Linguistic Weighted Averaging for T2-FSs; 3 Proposed Type-2 Fuzzy Multi Attribute Group Decision Making; 4 An Illustrative Example.
Series Title: Advances in intelligent systems and computing.

Abstract:

This book describes recent advances in the use of fuzzy logic for the design of hybrid intelligent systems based on nature-inspired optimization and their applications in areas such as intelligent  Read more...

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