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Entropy Measures for Hesitant Fuzzy Sets and Their Extensions

  • Bahram FarhadiniaEmail author
  • Zeshui Xu
Chapter
Part of the Uncertainty and Operations Research book series (UOR)

Abstract

Entropy measure is a vital decision making apparatus for computing the amount of uncertain information. Here, we investigate several entropy measure formulas together with further discussing on the relationships among the proposed distance measures, similarity measures and entropy measures for HFSs from which we can find that these three measures are interchangeable under certain conditions. By the way, we present the other kinds of entropy measures related to IVHFSs, DHFSs, and HFLTSs in the sequel.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Quchan University of TechnologyQuchanIran
  2. 2.Business SchoolSichuan UniversityChengduChina

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