Hesitant Fuzzy Decision Making Methodologies and Applications.

This book offers a comprehensive and systematic introduction to the latest research on hesitant fuzzy decision-making theory. It includes six parts: the hesitant fuzzy set and its extensions, novel hesitant fuzzy measures, hesitant fuzzy hybrid weighted aggregation operators, hesitant fuzzy multiple...

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Bibliographic Details
Main Author Liao, Huchang
Other Authors Xu, Zeshui
Format Electronic eBook
LanguageEnglish
Published [Place of publication not identified] : Springer Science and Business Media : Springer, 2016.
SeriesUncertainty and operations research.
Subjects
Online AccessPlný text

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Table of Contents:
  • Preface; Contents; Abstract; 1 Hesitant Fuzzy Set and Its Extensions; 1.1 Hesitant Fuzzy Set; 1.1.1 Introduction to Hesitant Fuzzy Set; 1.1.2 Operational Laws of Hesitant Fuzzy Elements; 1.1.3 Comparison Laws of Hesitant Fuzzy Elements; 1.2 Extensions of Hesitant Fuzzy Set; 1.2.1 Interval-Valued Hesitant Fuzzy Set; 1.2.2 Dual Hesitant Fuzzy Set; 1.2.3 Hesitant Fuzzy Linguistic Term Set; References; 2 Novel Correlation and Entropy Measures of Hesitant Fuzzy Sets; 2.1 Novel Correlation Measures of Hesitant Fuzzy Sets; 2.1.1 The Existing Correlation Measures of Hesitant Fuzzy Sets
  • 2.1.2 Novel Correlation Measures of Hesitant Fuzzy Sets2.1.3 Applications of the Correlation Measures of Hesitant Fuzzy Sets; 2.2 Novel Entropy Measures of Hesitant Fuzzy Sets; 2.2.1 The Existing Entropy Measures of Hesitant Fuzzy Sets; 2.2.2 Novel Two-Tuple Entropy Measures of Hesitant Fuzzy Sets; References; 3 Multiple Criteria Decision Making with Hesitant Fuzzy Hybrid Weighted Aggregation Operators; 3.1 Hesitant Fuzzy Aggregation Operators; 3.2 Hesitant Fuzzy Hybrid Weighted Aggregation Operators; 3.3 Quasi Hesitant Fuzzy Hybrid Weighted Aggregation Operators
  • 3.4 Generalized Hesitant Fuzzy Hybrid Weighted Aggregation Operators3.5 Induced Hesitant Fuzzy Hybrid Weighted Aggregation Operators; 3.6 Multiple Criteria Decision Making with Hesitant Fuzzy Hybrid Weighted Aggregation Operators; 3.6.1 Hesitant Fuzzy Multiple Criteria Decision Making with Single Decision Maker; 3.6.2 Hesitant Fuzzy Multiple Criteria Decision Making with Multiple Decision Makers; References; 4 Hesitant Fuzzy Multiple Criteria Decision Making Methods with Complete Weight Information; 4.1 Hesitant Fuzzy VIKOR Method for Multiple Criteria Decision Making
  • 4.1.1 Multiple Criteria Decision Making and the VIKOR Method4.1.2 Hesitant Fuzzy VIKOR Method for Multiple Criteria Decision Making; 4.1.3 Application of the Hesitant Fuzzy VIKOR Method in Airline Service Quality Evaluation; 4.2 Hesitant Fuzzy ELECTRE II Methods for Multiple Criteria Decision Making; 4.2.1 Main Characteristics of the ELECTRE Methods; 4.2.2 The HF-ELECTRE I Method; 4.2.3 The HF-ELECTRE II Method; 4.2.4 Application of the HF-ELECTRE Methods in Multiple Criteria Decision Making; References
  • 5 Hesitant Fuzzy Multiple Criteria Decision Making Methods with Incomplete Weight Information5.1 Satisfaction Degree Based Interactive Decision Making Methods for Hesitant Fuzzy Multiple Criteria Decision Making with Incomplete Weight Information; 5.1.1 A Satisfaction Degree Based Method for Hesitant Fuzzy Multiple Criteria Decision Making with Incomplete Weight Information; 5.1.2 An Interactive Method for Hesitant Fuzzy Multiple Criteria Decision Making with Incomplete Weight Information; 5.1.3 Application of the Approaches in Domestic Airline Service Quality Evaluation