Optimization of Fuzzy Transportation Problems using Triangular Fuzzy Numbers and Ranking Techniques

This study addresses a fuzzy transportation problem model with triangular fuzzy numbers and transformed onto crisp number with the help of three ranking methods: Pascal Triangular, Sub Interval and Magnitude Ranking Methods. Here feasible and optimal solutions are derived using Russell’s Approximation Method and the MODI methods respectively. Comparative analysis reveals significant variations in costeffectiveness across ranking techniques. The research highlights the effectiveness of different approaches in handling fuzziness and provides insights into selecting the most suitable method for achieving optimal decisionmaking in transportation problems under uncertainty.