An Approach For Solving Fuzzy Transportation Problem Using Allocation Table Method

Abstract

In this paper ,we use  allocation table  method for solving  fuzzy transportation problem usingRobust Ranking  method. Some of the quantities in a fuzzy transportation problem may be fuzzy or crisp quantities. In many fuzzy decision problems, the quantities are represented in terms of fuzzy numbers. Fuzzy numbers may be normal or abnormal, triangular or trapezoidal or any LR fuzzy number. Thussome fuzzy numbers are not directly comparable. First, we transform the fuzzy quantities as the cost,  supply and demands, in to crisp quantities by using method and then by using the classicalalgorithms we solve and obtain the solution of the problem. This  methodhas systematic procedure, easy to apply and can be utilized for all types of transportation problem whether maximize or minimize objective function. At the end, this method is illustrated with a numerical example.