A Multi-Attribute Group Decision Making Method for Express Supplier Selection Based on Generalized Fuzzy Soft Set

At present, the express industry is developing rapidly and a variety of express companies emerge in endlessly. On this basis, the selection of express suppliers is particularly important. In this paper, a multi-attribute group decision making (MAGDM) method based on generalized fuzzy soft set (GFSS) is proposed for the selection of express delivery companies. Firstly, considering the cognition of decision makers, we introduce the adjustment factor to construct GFSS by using fuzzy soft set (FSS) information. Then, a similarity measure is used to identify the weight of decision makers (DMs). On this basis, we develop the GFSS Bonferroni mean operator (GFSSBM) by Bonferroni mean operator, which can be used for aggregating the information of gleaned from the DMs into collective information. The attribute weight is determined by information entropy, then calculate and sort the score of each express company using score function. Finally, through the case analysis and comparison between GFSS and FSS method, it shows that the application of the MAGDM method in the decision making of express companies is scientific and reasonable.