Chinese Quarterly Journal of Mathematics ›› 2021, Vol. 36 ›› Issue (2): 160-175.doi: 10.13371/j.cnki.chin.q.j.m.2021.02.005

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Entropy and Similarity Measure for T2SVNSs and Its Application

  

  1. 1. Foundation Department, Sichuan Institute of Industrial Technology, Deyang 618500, China;
    2. School of Science, Southwest Petroleum University, Chengdu 610500, China
  • Received:2020-11-22 Online:2021-06-30 Published:2021-04-12
  • About author:GENG Juan-juan (1988-), female, native of Kaifeng, Henan, lecturer of Sichuan Institute of Industrial Technology, M.S., engages in application of probability and statistics; YE Wan-hong (1979-), male, native of Deyang, Sichuan, associate professor of Sichuan Institute of Industrial Technology, M.S., engages in number theory; ZHANG Ju (1982-), female, native of Deyang, Sichuan, lecturer of Sichuan Institute of Industrial Technology, B.D.,engages in computational mathematics; XU Dong-sheng (1976-), male, native of Nanchong, Sichuan, professor in the School of Science of Southwestern Petroleum University, Ph.D., engages in financial asset pricing.
  • Supported by:
    Supported by Humanities and Social Sciences Foundation of Ministry of Education of the
    Peoples Republic of China (Grant No.17YJA630115).

Abstract: The objective of this paper is to present a new approach for solving the multicriteria group decision-making (MCGDM) problems in type-2 single valued neutrosophic
set (T2SVNS) environment. Firstly, we give the concepts SVNS, T2SVNS and tangent
similarity measure with T2SVN information. Secondly, we define a new entropy function
for determining unknown attribute weights. In addition, a MCGDM method is developed
based on entropy and tangent similarity measure of T2SVNSs. Finally, an illustrative
example and comparative analysis are given to confirm the rationality and feasibility of
the proposed method.

Key words: Type-2 single valued neutrosophic set, Entropy, Tangent function, Similarity
measure,
MCGDM

CLC Number: