数学季刊 ›› 2021, Vol. 36 ›› Issue (2): 160-175.doi: 10.13371/j.cnki.chin.q.j.m.2021.02.005
摘要: 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.
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