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Soft Computing

, Volume 23, Issue 4, pp 1109–1121 | Cite as

Sorting of decision-making methods based on their outcomes using dominance-vector hesitant fuzzy-based distance

  • Bahram FarhadiniaEmail author
  • Enrique Herrera-ViedmaEmail author
Foundations

Abstract

Multi-criteria decision-making (MCDM) techniques have attracted more and more scholars attention for their potential of application in many areas of human action. Although several contributions exist regarding comparative analysis of MCDM techniques, most of them are focused on demonstrating the similarities and differences of these methodologies in obtaining group decisions. However, the existing techniques comparing MCDM methods to investigate the most suitable ranking method for the case study have a critical shortcoming that limits their application to just MCDM methods resulting in total ranking order. This work contributes to reduce this shortcoming by establishing a correspondence between a non-total ranking order and a set of total ranking orders what we will call dominance-vector hesitant fuzzy set.

Keywords

Multi-criteria decision-making Hesitant fuzzy set Ranking of alternatives 

Notes

Acknowledgements

The authors respectfully acknowledge the support of Quchan University of Technology under Grant 94/7627 and FEDER funds under Grant TIN2016-75850-R.

Compliance with Ethical Standards

Conflict of interest

Authors declare that they have no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by the authors.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of MathematicsQuchan University of TechnologyQuchanIran
  2. 2.Department of Computer Science and Artificial IntelligenceUniversity of GranadaGranadaSpain
  3. 3.Department of Electrical and Computer Engineering, Faculty of EngineeringKing Abdulaziz UniversityJeddahSaudi Arabia

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