A NEW APPROACH FOR FINDING AN OPTIMAL SOLUTION OF UNBALANCED INTUTIONISTIC FUZZY TRANSPORTATION PROBLEMS

Abstract

In this paper, a new method is proposed for solving unbalanced Intuitionistic fuzzy transportation problems by assuming that a decision maker is uncertain about the precise values of the transportation costs, demand and supply of the product. In this proposed method the transportation costs, demand and supply of the product are represented by triangular Intuitionistic fuzzy numbers. To illustrate the proposed method a numerical example is solved and the obtained result is compared with the results of other existing methods. The proposed method is very easy to understand and it can be applied on real life transportation problems for the decision makers.