A novel solution approach for solving intuitionistic fuzzy transportation problem of type-2

In the cases that decision maker faces with uncertainty and hesitation together for determining a parameter of an optimization problem, considering intuitionistic fuzzy parameters is useful. A transportation problem with triangular intuitionistic fuzzy unit transportation costs is focused in this study. The fuzzy costs are crisped using the accuracy function of the literature. Then the algorithms e.g. the north west corner method, the least cost method, and the Vogel’s approximation method are applied to obtain an initial basic feasible solution for the crisp version of the problem. After that the modified distribution method is used to obtain the optimal solution of the problem. The performed computational experiments show the superiority of the proposed approach over those of the literature from the results’ quality and the computational difficulty point of views.