Study on fuzzy transportation problem using Icosikaitetragonal fuzzy number

The transportation problem represents a specific category within the applications of linear
programming. Typically, this problem assumes that the decision-maker possesses precise knowledg
transportation costs, as well as the supply and demand for the product. However, there are instances
maker cannot define the objective with certainty and must instead rely on fuzzy
concepts. In this study, we examine the fuzzy transportation problem (FTM) utilizing Icosikaitetragonal
fuzzy numbers and their associated membership functions. We have established a ranking system for
these fuzzy numbers to transform the fuzzy-valued transportation problem into a crisp
nstrate these methodologies, we have resolved a real-world issue using the Least Cost Method