Probabilistic Operators and Hybrid Binary Logarithm Similarity Measure for MCGDM Problems Under T2SVNS Environment.

The purpose of this paper is to propose a new approach to deal with multi-criteria group decision-making (MCGDM) problems under type-2 single valued neutrosophic set (T2SVNS) environment. Firstly, we give the concepts of single valued neutrosophic set (SVNS) and T2SVNS, and then we define probabilistic operators with T2SVN information. Secondly, two type of binary logarithm similarity measures (BLSM) and weighted binary logarithm similarity measures (WBLSM) for T2SVNSs are defined. Hybrid binary logarithm similarity measure (HBLSM) and weighted hybrid binary logarithm similarity measure (WHBLSM) for T2SVNSs are also defined. In addition, a MCGDM model based on TOPSIS method is proposed under T2SVNS environment. Finally, a numerical example is given to illustrate the effectiveness and feasibility of the proposed method. [ABSTRACT FROM AUTHOR]