Multi-criteria Decision Making Method Based on Cross-entropy with Interval Neutrosophic Sets

The main purpose of this paper is to provide a method of multi-criteria decision making that combines interval neutrosophic sets and TOPSIS involving the relative likelihood-based comparison relations of the performances of alternatives that are aggregated into interval numbers. A fuzzy cross-entropy approach is proposed to state the discrimination measure between alternatives and the absolute ideal solutions after a transformation operator has been developed to convert interval neutrosophic numbers to simplified neutrosophic numbers