Multi-criteria decision-making method based on a cross-entropy with interval neutrosophic sets

In this paper, two optimisation models are established to determine the criterion weights in multi-criteria
decision-making situations where knowledge regarding the weight information is incomplete and the criterion
values are interval neutrosophic numbers. The proposed approach combines interval neutrosophic
sets and TOPSIS, and the closeness coefficients are expressed as interval numbers.