Provide A New Solution to Multi-Criteria Decision Problems in A Hesitant Fuzzy Space Environment

Document Type : Original Article

Author

20.1001.1.27174409.1399.3.1.5.0/DOR

Abstract

Hesitant Fuzzy Sets (HFS), an extension of fuzzy sets, are useful in solving decision problems where decision makers are unable to choose between multiple values ​​when expressing their opinions. Multi-criteria decision making (MCDM) is a way to rank solutions and find the best one when making two or more criteria decisions. AHP, ELECTRE and TOPSIS are the most popular and accepted MCDM methods. In this paper, we first present a new distance for hesitant fuzzy sets and then use it to solve the MCDM problem with hesitant fuzzy data using the popular TOPSIS method. Finally, with the help of two practical examples, we examined our proposed method.

Keywords

References

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History

  • Receive Date: 25 September 2020
  • Revise Date: 21 October 2020
  • Accept Date: 01 February 2021

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