Fuzzy Transportation Problem of Triangular Numbers with −Cut and Ranking Technique

The aim of Fuzzy transportation is to find the least transportation cost of some commodities through a capacitated network when the supply and demand of nodes and the capacity and cost of edges are represented as fuzzy numbers. Many previous papers [1, 2, 5, 6] have presented arithmetic operations, alpha level and simple ranking by operations. P. Pandian [4, 5] has presented some methods for fuzzy transportation problem. Finally all these research papers present the solutions of FTP by alpha level, simple ranking method and alpha level standard value. In this paper we are presenting a ranking technique with alpha optimal solution for solving fuzzy transportation problem, where fuzzy demand and supply all are in the form of triangular fuzzy numbers.