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Table of Contents
Preface; Organization; Proceedings; Executive Committee; Sponsoring Institutions; Technical Program Committee; Contents; Logical Analogies Between Intuitionistic Fuzzy Sets and Rough Sets; 1 An Introduction to Intuitionistic Fuzzy Sets; 2 T-norms and T-conorms Defined on the Lattice L; 3 Rough Sets and Their Representations; 4 Generalizing Nelson Logic via Intuitionistic Fuzzy Sets; 5 Conclusions; References; Enhanced Knowledge Management by Synchronizing Mind Maps and Fuzzy Cognitive Maps; 1 Introduction; 2 Theoretical Background; 2.1 Soft Computing; 2.2 Creativity Techniques.
2.3 Cognitive Computing3 The Conceptual Framework; 4 Use Case: Smart City App; 5 Conclusions and Outlook; References; Constraints and Wishes in Quantified Queries Merged by Asymmetric Conjunction; 1 Introduction; 2 Preliminaries of Quantified Queries; 3 Preliminaries of Preferences in Queries; 4 And If Possible Connective in Quantified Queries by Asymmetric Conjunction; 5 Illustrative Example and Discussion; 5.1 Illustrative Example; 5.2 Discussion; 6 Conclusion; References.
Statistical Characteristics of Distributions Obtained Using the Signed Distance Defuzzification Method Compared to Other Methods1 Introduction and Motivation; 2 Defuzzification Methods; 3 Implementation; 4 Numerical Results; 4.1 The Mean and Median; 4.2 The Variance; 4.3 The Skewness; 5 Conclusion; Appendix; References; An Intuitionistic Fuzzy Service Model: Use Case for Swiss Health Platform; 1 Service Level Management; 2 Literature Review: Service Quality Impacts by Couplings; 3 Fuzzy-Based Intuitionistic Dependency Model; 3.1 Intuitionistic Fuzzy Direct Coupling Index.
3.2 Intuitionistic Fuzzy Indirect Coupling Index4 Applying the Concept to Swiss Health Platform; 4.1 Centris AG Service Model; 4.2 Determining the IFDCI for the Service Model; 4.3 Business Impact Assessment; 4.4 Case Study for a Clustered Load Balancer; 5 Conclusion; References; A Modified Fuzzy TOPSIS Method Aggregating 8.921 Partial Rankings For Companies' Attractiveness; 1 Introduction; 2 Methods; 2.1 Fuzzy Set Theory; 2.2 The Fuzzy TOPSIS Method; 2.3 The Proposed Fuzzy TOPSIS Method; 2.4 Borda-Kendall OWA (BK-OWA); 3 Problem Definition; 4 Results; 5 Discussion; 6 Conclusion; Appendix.
2.3 Cognitive Computing3 The Conceptual Framework; 4 Use Case: Smart City App; 5 Conclusions and Outlook; References; Constraints and Wishes in Quantified Queries Merged by Asymmetric Conjunction; 1 Introduction; 2 Preliminaries of Quantified Queries; 3 Preliminaries of Preferences in Queries; 4 And If Possible Connective in Quantified Queries by Asymmetric Conjunction; 5 Illustrative Example and Discussion; 5.1 Illustrative Example; 5.2 Discussion; 6 Conclusion; References.
Statistical Characteristics of Distributions Obtained Using the Signed Distance Defuzzification Method Compared to Other Methods1 Introduction and Motivation; 2 Defuzzification Methods; 3 Implementation; 4 Numerical Results; 4.1 The Mean and Median; 4.2 The Variance; 4.3 The Skewness; 5 Conclusion; Appendix; References; An Intuitionistic Fuzzy Service Model: Use Case for Swiss Health Platform; 1 Service Level Management; 2 Literature Review: Service Quality Impacts by Couplings; 3 Fuzzy-Based Intuitionistic Dependency Model; 3.1 Intuitionistic Fuzzy Direct Coupling Index.
3.2 Intuitionistic Fuzzy Indirect Coupling Index4 Applying the Concept to Swiss Health Platform; 4.1 Centris AG Service Model; 4.2 Determining the IFDCI for the Service Model; 4.3 Business Impact Assessment; 4.4 Case Study for a Clustered Load Balancer; 5 Conclusion; References; A Modified Fuzzy TOPSIS Method Aggregating 8.921 Partial Rankings For Companies' Attractiveness; 1 Introduction; 2 Methods; 2.1 Fuzzy Set Theory; 2.2 The Fuzzy TOPSIS Method; 2.3 The Proposed Fuzzy TOPSIS Method; 2.4 Borda-Kendall OWA (BK-OWA); 3 Problem Definition; 4 Results; 5 Discussion; 6 Conclusion; Appendix.