International Journal of Neutrosophic Science IJNS 2690-6805 2692-6148 10.54216/IJNS https://www.americaspg.com/journals/show/2587 2020 2020 Department of Mathematics, SRM Institute of Science and Technology, Kattankulathur-603203, Tamil Nadu, India Uma Uma Department of Mathematics, SRM Institute of Science and Technology, Kattankulathur-603203, Tamil Nadu, India Uma .. Department of Mathematics, SRM Institute of Science and Technology, Kattankulathur-603203, Tamil Nadu, India Ganesan. K. The transportation problem has received a lot of attention in the field of operations research. In many circumstances, transportation planners may lack clear information on supply, demand, and transportation costs. Fuzzy sets can accept incomplete information by allowing for degrees of membership, which describe the level of certainty or uncertainty associated with each parameter. Three components—truth-membership, indeterminacy-membership, and falsity-membership degrees—are added to fuzzy numbers to create neutrosophic fuzzy numbers, which enables a more complex depiction of uncertainty. In this paper, we discuss the fuzzy transportation problem in a neutrosophic environment. Here the transportation costs, demands, and supplies are represented by neutrosophic trapezoidal fuzzy numbers. The neutrosophic trapezoidal fuzzy numbers are transformed into crisp numbers by using a ranking function and providing numerical examples to show the proposed method's efficiency to get the minimum optimal cost. Finally, we have demonstrated that our proposed method produced a better optimal solution to existing approaches by comparing its results to those of the existing ones. 2024 2024 224 237 10.54216/IJNS.230417 https://www.americaspg.com/articleinfo/21/show/2587