Hesitant fuzzy methods for multiple criteria decision analysis. ([2016])
- Record Type:
- Book
- Title:
- Hesitant fuzzy methods for multiple criteria decision analysis. ([2016])
- Main Title:
- Hesitant fuzzy methods for multiple criteria decision analysis
- Further Information:
- Note: Xiaolu Zhang, Zeshui Xu.
- Authors:
- Zhang, Xiaolu
Xu, Zeshui - Contents:
- Intro; Preface; Contents; 1 Hesitant Fuzzy Multiple Criteria Decision Analysis Based on TOPSIS; Abstract; 1.1 Hesitant Fuzzy Information; 1.2 Description of the Classical TOPSIS Method; 1.3 The Maximizing Deviation Model-Based Hesitant Fuzzy TOPSIS Approach; 1.3.1 The Maximizing Deviation Model to Determine Weights of Criteria; 1.3.2 The Hesitant Fuzzy TOPSIS Model to Rank the Alternatives; 1.4 Numerical Example and Comparison Analysis; 1.4.1 Problem Description and Decision Making Process; 1.4.2 Comparison Analysis 1.5 Extension of the Proposed Method in the Interval-Valued Hesitant Fuzzy Situations1.5.1 Interval-Valued Hesitant Fuzzy Information; 1.5.2 The Maximizing Deviation Model-Based Interval-Valued Hesitant Fuzzy TOPSIS Approach; 1.5.3 Numerical Example with IVHFEs; 1.6 Conclusions; References; 2 Hesitant Fuzzy Multiple Criteria Decision Analysis Based on TODIM; Abstract; 2.1 Description of the Classical TODIM Method; 2.2 Ranking Functions Related to HFEs and IVHFEs; 2.2.1 The Existing Ranking Functions of HFEs; 2.2.2 The Proposed Ranking Functions 2.3 The Ranking Functions-Based Hesitant Fuzzy TODIM Approach2.4 Illustration Example Based on the Evaluation Problem of Service Quality; 2.4.1 Description; 2.4.2 Decision Making Model; 2.4.3 Sensitivity Analysis of Parameters; 2.4.4 Comparative Analysis and Discussions; 2.5 Extension of the Developed Approach for Handling the MCGDM Problems with HTrFNs; 2.5.1 The Concept of HTrFN; 2.5.2 Hesitant Trapezoidal Fuzzy TODIMIntro; Preface; Contents; 1 Hesitant Fuzzy Multiple Criteria Decision Analysis Based on TOPSIS; Abstract; 1.1 Hesitant Fuzzy Information; 1.2 Description of the Classical TOPSIS Method; 1.3 The Maximizing Deviation Model-Based Hesitant Fuzzy TOPSIS Approach; 1.3.1 The Maximizing Deviation Model to Determine Weights of Criteria; 1.3.2 The Hesitant Fuzzy TOPSIS Model to Rank the Alternatives; 1.4 Numerical Example and Comparison Analysis; 1.4.1 Problem Description and Decision Making Process; 1.4.2 Comparison Analysis 1.5 Extension of the Proposed Method in the Interval-Valued Hesitant Fuzzy Situations1.5.1 Interval-Valued Hesitant Fuzzy Information; 1.5.2 The Maximizing Deviation Model-Based Interval-Valued Hesitant Fuzzy TOPSIS Approach; 1.5.3 Numerical Example with IVHFEs; 1.6 Conclusions; References; 2 Hesitant Fuzzy Multiple Criteria Decision Analysis Based on TODIM; Abstract; 2.1 Description of the Classical TODIM Method; 2.2 Ranking Functions Related to HFEs and IVHFEs; 2.2.1 The Existing Ranking Functions of HFEs; 2.2.2 The Proposed Ranking Functions 2.3 The Ranking Functions-Based Hesitant Fuzzy TODIM Approach2.4 Illustration Example Based on the Evaluation Problem of Service Quality; 2.4.1 Description; 2.4.2 Decision Making Model; 2.4.3 Sensitivity Analysis of Parameters; 2.4.4 Comparative Analysis and Discussions; 2.5 Extension of the Developed Approach for Handling the MCGDM Problems with HTrFNs; 2.5.1 The Concept of HTrFN; 2.5.2 Hesitant Trapezoidal Fuzzy TODIM Decision Analysis Method; 2.5.3 Case Illustration; 2.6 Conclusions; References; 3 Hesitant Fuzzy Multiple Criteria Decision Analysis Based on QUALIFLEX; Abstract 3.1 The Concept of a Hesitancy Index for HFE3.1.1 The Hesitancy Index; 3.1.2 The Improved Distance Measures for HFEs; 3.1.3 The Comparison Methods Based on Hesitancy Indices for HFEs; 3.2 Hesitant Fuzzy QUALIFLEX Approach with a Signed Distance-Based Ranking Method; 3.3 A Case Study for Green Supplier Selection; 3.3.1 Decision Context; 3.3.2 Illustration of the Proposed Method; 3.3.3 Comparative Analysis and Discussions; 3.4 Extension of the Proposed Method for Heterogeneous Information; 3.5 Conclusions and Future Research Directions; References 4 Hesitant Fuzzy Multiple Criteria Decision Analysis Based on LINMAPAbstract; 4.1 Some Basic Concepts; 4.1.1 Description of the Hesitant Fuzzy MCGDM Problems; 4.1.2 Interval-Valued Preference Relations; 4.1.3 Hesitant Fuzzy Preference Relation; 4.1.4 Optimization Problems with Interval-Objective Functions; 4.2 Hesitant Fuzzy LINMAP Group Decision Method with Interval Programming Models; 4.2.1 The Proposed Approach; 4.2.2 Other Generalizations of the Proposed Model; 4.2.3 An Energy Project Selection Problem and the Analysis Process; 4.2.3.1 Description of the Energy Project Selection Problem … (more)
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2016
- Copyright Date:
- 2017
- Extent:
- 1 online resource (xv, 191 pages), illustrations (some color)
- Subjects:
- 519.5/42
Engineering
Fuzzy decision making
Multiple criteria decision making
Fuzzy decision making
Multiple criteria decision making
Business & Economics -- Operations Research
Computers -- Intelligence (AI) & Semantics
Operational research
Artificial intelligence
Operations research
Artificial intelligence
Electronic books - Languages:
- English
- ISBNs:
- 9783319420011
3319420011 - Related ISBNs:
- 9783319420004
3319420003 - Notes:
- Note: Includes bibliographical references.
Note: Online resource; title from PDF title page (SpringerLink, viewed October 13, 2016). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- British Library HMNTS - ELD.DS.370244
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