科研之友
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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.
