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Entropy on Intuitionistic Fuzzy Sets and Hesitant Fuzzy Sets

Author

Listed:
  • Bicheng Yu
  • Xuejun Zhao
  • Mingfa Zheng
  • Xiujiu Yuan
  • Bei Hou

Abstract

Since the sufficient conditions for the maximum value of the intuitionistic fuzzy entropy are not unified and the hesitant fuzzy entropy cannot be compared when the lengths of the hesitation fuzzy elements are not equal, improved axiomatic definitions of intuitionistic fuzzy entropy and hesitant fuzzy entropy are proposed, and new intuitionistic fuzzy entropy and hesitant fuzzy entropy based on the improved axiomatic definitions are established. This paper defines the fuzzy entropy that satisfies the properties based on the axiomatized definition of fuzzy entropy and, based on the fuzzy entropy, defines new intuitionistic fuzzy entropy and hesitant fuzzy entropy, so that the three are unified in form. The validity and rationality of the proposed intuitionistic fuzzy entropy and hesitant fuzzy entropy are verified by analysis.

Suggested Citation

  • Bicheng Yu & Xuejun Zhao & Mingfa Zheng & Xiujiu Yuan & Bei Hou, 2022. "Entropy on Intuitionistic Fuzzy Sets and Hesitant Fuzzy Sets," Journal of Mathematics, John Wiley & Sons, vol. 2022(1).
  • Handle: RePEc:wly:jjmath:v:2022:y:2022:i:1:n:1585079
    DOI: 10.1155/2022/1585079
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    References listed on IDEAS

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    1. Junhua Hu & Xiaolong Zhang & Xiaohong Chen & Yongmei Liu, 2016. "Hesitant fuzzy information measures and their applications in multi-criteria decision making," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(1), pages 62-76, January.
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