Unraveling Neutrosophic Transportation Problem Using Costs Mean and Complete Contingency Cost Table

As neutrosophic deal with uncertain, inconsistent and also indeterminate information, the model of NS is a significant technique to covenant with real methodical and engineering. Neutrosophic fuzzy is more generalized than intuitionistic fuzzy. The common process for unraveling the neutrosophic transportation problems involves procedures like, north-west corner method, matrix minima method and Vogel's approximation method. By determining the mean of the specified costs the optimal elucidation of the neutrosophic fuzzy transportation problem is initiated in this paper. This technique has been implemented into two phases. In first methodology, the complete contingency cost table is constructed and in the second phase and the optimum allocation is made. The significance of this technique confers a better optimal solution compared to other methods. A numerical example for the projected technique is explicated and compared along with existing techniques. Keywords: Neutrosophic Fuzzy Transportation Problem, Complete Contingency Cost Table (CCCT), Costs Mean.