Abstract: In real world problems, optimization techniques are useful for solving problems like, project schedules, assignment problems and network flow analysis. The main aspect of this study 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. Here, we are proposing a new algorithm for solving fuzzy transportation problem, where fuzzy demand and supply all are in the form of triangular fuzzy numbers. Where fuzzy demand and supply all are in the form of triangular fuzzy numbers. So, the proposed approach is very easy to understand and to apply on real life transportation problems for the decision makers.
R. Srinivasan, S. Muruganandam and V. Vijayan, 2016. A New Algorithmforsolving Fuzzy Transportation Problems with Triangularfuzzy Numbers. Asian Journal of Information Technology, 15: 3501-3505.