In this paper we present a new algorithm for the optimal solution to bottleneck transportation problem with imprecise coefficients without changing to its crisp equivalent form which is very distinct from other existing methods. Here all the variables are assumed to be triangular fuzzy numbers. Using a parametric form of triangular fuzzy numbers such as left fuzziness index, right fuzziness index, modal value, we obtain all the efficient solutions to a bottleneck-cost fuzzy transportation problem. This method enables the decision maker to find next efficient solution from the current efficient solution which varies from other methods. A numerical example is solved to illustrate the proposed algorithm.
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