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

Abstract

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