To Solve Fuzzy Congruence Modulo Transportation Problem Using Bipartite Graph with Optimal Solution

In this research, we have suggested a novel technique to handle fuzzy transportation issues utilizing the congruence modulo approach, which is also illustrated by numerical examples. The obtained findings demonstrate that this is one of the quick and easy ways to discover the best solution to the fuzzy transportation problem. The fuzzy optimum transportation issue may be solved using a bipartite graph-based method that we will describe in this paper. For generalized hexagonal fuzzy numbers, it would undoubtedly generate a ranking algorithm. The fuzzy transportation problem has been converted into crisp values. Applying TORA statistical software, the data analysis discovered that the crisp model becomes linear when the membership function is applied.