Abstract
In this paper, we propose a new approach for the solution of fuzzy transportation problem under a fuzzy environment in which transportation costs are taken as fuzzy pentagonal numbers. The fuzzy numbers and fuzzy values are predominantly used in various fields such as experimental sciences, artificial intelligence, etc. because of their uncertainty. Here, we are converting fuzzy pentagonal numbers into crisp value by using range technique and then solved by the max-min method for the transportation problem.
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