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Distributor selection plays an important role in the supply chain management, particularly in the current competitive environment. The recent researches are mainly focused on the conceptual, descriptive and simulation. However, analyzing qualitative information is difficult by standard statistical analysis, which means that a proper quantitative method is desired for distributor selection in fuzzy environment. This study is an attempt to identify the factors which have impact on the distribution cost and the selection for better distributors in an agricultural enterprise in China based on fuzzy TOPSIS.

A Fuzzy TOPSIS based Approach for Distributor Selection in Supply Chain Management: An Empirical Study of an Agricultural Enterprise in China