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Foreword; Contents; Higher Degree Fuzzy Transform: Application to Stationary Processes and Noise Reduction; 1 Introduction; 2 Preliminaries; 2.1 Basic Concepts of Stationary Processes; 2.2 Generalized Uniform Fuzzy Partition; 3 Higher Degree Fuzzy Transform Applied to Stationary Processes; 3.1 Direct Fm-Transform; 3.2 Inverse Fm-Transform; 4 Reduction of Noise; 5 Illustrative Examples; 6 Conclusions; References; Sheffer Stroke Fuzzy Implications; 1 Introduction; 2 Preliminaries; 3 Sheffer Stroke Implications; 3.1 SSpq-Implications; 3.2 SSqq-Implications.
4 Basic Properties of Sheffer Stroke Implications5 Conclusions; References; Towards Fuzzy Type Theory with Partial Functions; 1 Introduction; 2 Truth Values and Fuzzy Equality; 2.1 Truth Values; 2.2 Extended Algebra of Truth Values; 2.3 Fuzzy Equality; 3 Syntax of Partial FTT; 3.1 Axioms and Inference Rules; 3.2 Logical Connectives and the "undefined''; 4 Semantics of Partial FTT; 5 Canonical Model of Partial FTT; 5.1 Extension of Theories; 5.2 Canonical Frame and Completeness; 6 Partial Functions; 7 Conclusion; References.
Dynamic Intuitionistic Fuzzy Evaluation of Entrepreneurial Support in CountriesAbstract; 1 Introduction; 2 Entrepreneurial Support; 3 Dynamic Intuitionistic Fuzzy Evaluation; 3.1 Preliminaries; 3.2 Dynamic Intuitionistic Fuzzy Evaluation Method; 4 Entrepreneurial Support Evaluation; 5 Conclusion; References; Hesitant Fuzzy Evaluation of System Requirements in Job Matching Platform Design; Abstract; 1 Introduction; 2 Current Studies on Requirements Prioritization; 3 Hesitant Fuzzy Multi-criteria System Requirements Evaluation; 3.1 Preliminaries; 3.2 Steps of the Methodology; 4 Application.
5 ConclusionReferences; An Interval Valued Hesitant Fuzzy Clustering Approach for Location Clustering and Customer Segmentation; Abstract; 1 Background; 2 Related concepts; 2.1 Location Based Mobile Advertising; 2.2 Location Based Clustering; 3 Motivation; 4 Methodology; 4.1 Preliminaries; 4.2 Fuzzy c means clustering; 4.3 Interval Valued Hesitant Fuzzy c means clustering; 5 Application; 6 Conclusion; References; Aggregation of Risk Level Assessments Based on Fuzzy Equivalence Relation; 1 Introduction; 2 Upper General Aggregation Operator Based on a Fuzzy Equivalence Relation.
3 Upper General Aggregation Operator in Risk Level Assessments4 Fuzzy Equivalence Relation Based on a Metric; 5 Aggregation of Experts' Evaluations of Countries Risk Level; 6 Conclusion; References; Six Sigma Project Selection Using Interval Neutrosophic TOPSIS; Abstract; 1 Neutrosophic Sets in Multicriteria Decision Making; 2 Preliminaries of Neutrosophic Sets; 2.1 Arithmetic Operations with Neutrosophic Sets; 2.2 Arithmetic Operations with Interval Neutrosophic Sets; 3 Neutrosophic TOPSIS with Group Decision Making; 4 Application; 5 Conclusion; References.
4 Basic Properties of Sheffer Stroke Implications5 Conclusions; References; Towards Fuzzy Type Theory with Partial Functions; 1 Introduction; 2 Truth Values and Fuzzy Equality; 2.1 Truth Values; 2.2 Extended Algebra of Truth Values; 2.3 Fuzzy Equality; 3 Syntax of Partial FTT; 3.1 Axioms and Inference Rules; 3.2 Logical Connectives and the "undefined''; 4 Semantics of Partial FTT; 5 Canonical Model of Partial FTT; 5.1 Extension of Theories; 5.2 Canonical Frame and Completeness; 6 Partial Functions; 7 Conclusion; References.
Dynamic Intuitionistic Fuzzy Evaluation of Entrepreneurial Support in CountriesAbstract; 1 Introduction; 2 Entrepreneurial Support; 3 Dynamic Intuitionistic Fuzzy Evaluation; 3.1 Preliminaries; 3.2 Dynamic Intuitionistic Fuzzy Evaluation Method; 4 Entrepreneurial Support Evaluation; 5 Conclusion; References; Hesitant Fuzzy Evaluation of System Requirements in Job Matching Platform Design; Abstract; 1 Introduction; 2 Current Studies on Requirements Prioritization; 3 Hesitant Fuzzy Multi-criteria System Requirements Evaluation; 3.1 Preliminaries; 3.2 Steps of the Methodology; 4 Application.
5 ConclusionReferences; An Interval Valued Hesitant Fuzzy Clustering Approach for Location Clustering and Customer Segmentation; Abstract; 1 Background; 2 Related concepts; 2.1 Location Based Mobile Advertising; 2.2 Location Based Clustering; 3 Motivation; 4 Methodology; 4.1 Preliminaries; 4.2 Fuzzy c means clustering; 4.3 Interval Valued Hesitant Fuzzy c means clustering; 5 Application; 6 Conclusion; References; Aggregation of Risk Level Assessments Based on Fuzzy Equivalence Relation; 1 Introduction; 2 Upper General Aggregation Operator Based on a Fuzzy Equivalence Relation.
3 Upper General Aggregation Operator in Risk Level Assessments4 Fuzzy Equivalence Relation Based on a Metric; 5 Aggregation of Experts' Evaluations of Countries Risk Level; 6 Conclusion; References; Six Sigma Project Selection Using Interval Neutrosophic TOPSIS; Abstract; 1 Neutrosophic Sets in Multicriteria Decision Making; 2 Preliminaries of Neutrosophic Sets; 2.1 Arithmetic Operations with Neutrosophic Sets; 2.2 Arithmetic Operations with Interval Neutrosophic Sets; 3 Neutrosophic TOPSIS with Group Decision Making; 4 Application; 5 Conclusion; References.