Evaluation decision research of clothing reverse logistics supplier based on two-dimension linguistic variables(2DLVs) and AHP-TODIM

• 1、School of Management. Wuhan University of Science and Technology, Wuhan 430081, China

Abstract：Aiming at the issue that of high overstock and return rate in clothing industry is becoming more serious, this paper adopts a TODIM (theory of decision by multi-attribute) method based on 2DLVs for enterprises to select the best reverse logistics supplier to revitalize inventory and accelerate capital flow. The trapezoidal fuzzy number and confidence level interval corresponding to the second-dimension linguistic variable are given initially, which describes subjective risk appetite of the decision maker. Then build a language reliability construct model through Probabilistic Collocation Method to calculate the distance between fuzzy number expectations. Meanwhile, build a comprehensive type of supplier evaluation standard system based on the current characteristics of clothing reverse logistics, calculate the weights of all levels of indicators by trapezoidal fuzzy AHP, and apply TODIM method to 2DLVs to select the best supplier. Finally, the reasons for the difference of decision results between 2DLVs and traditional two-dimension semantic environment and the application scope of the two linguistic environments are analyzed through the example，which is helpful to provide flexible decision-making scheme for enterprises.

keywords： clothing reverse logistics indicator system 2DLVs fuzzy number expectation AHP- TODIM method

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