Fuzzy Soft Set Multi-Attribute Decision Making Method Based on TOPSIS with Improved Entropy Weight

Abstract

Abstract. In the process of fuzzy soft set multi-attribute decision making, and It is difficult to determine the weight of the attribute parameters which results in low efficiency of decision making. Therefore, a new method of determining the entropy weight which is calculated by the notion of the importance degree and the deviation degree based on parameters, moreover entropy weight is used to determine the objective weight of attribute parameters. The dynamic weight determination method is proposed to determine the combined weight which combines the subjective weight and the objective weight, then combined with the traditional TOPSIS method, this paper proposes the method of fuzzy soft set multi-attribute decision making based on TOPSIS with improved entropy weight. Finally, a practical example has been analyzed to verify the feasibility and effectiveness of the approach, which can realize the dynamic decision making according to the demand of decision making and improve the efficiency of decision making.