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International Journal of Fuzzy Systems

, Volume 20, Issue 7, pp 2122–2134 | Cite as

Entropy Measures for Hesitant Fuzzy Linguistic Term Sets Using the Concept of Interval-Transformed Hesitant Fuzzy Elements

  • Bahram Farhadinia
  • Enrique Herrera-ViedmaEmail author
Article

Abstract

This article first aims to critically review the existing literature on entropy measures for hesitant fuzzy linguistic term set (HFLTS) and then exploits a bridge between HFLTSs and interval-valued fuzzy sets. The intension of introducing the concept of interval-transformed HFLTS is to derive another class of entropy measures for HFLTSs satisfying different axioms. The comparison results and the experimental evidence show that the proposed entropy measures for HFLTSs are more confident in distinguishing different HFLTSs rather than the most existing entropy measures. Finally, the practical application of proposed entropy measures is illustrated in solving a problem of multiple criteria decision making.

Keywords

Hesitant fuzzy linguistic term set Interval-transformed hesitant fuzzy linguistic term set Entropy measure Multiple criteria decision making 

Notes

Acknowledgements

We would like to acknowledge the support of FEDER funds under Grants TIN2013-40658-P and TIN2016-75850-R.

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Copyright information

© Taiwan Fuzzy Systems Association and Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  1. 1.Department of MathematicsQuchan University of Advanced 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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