Entropy and Similarity Measure for T2SVNSs and Its Application

The objective of this paper is to present a new approach for solving the multi-criteria 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.