In order to achieve the goal of cost reduction and efficiency enhancement in emergency logistics，the comprehensive capabilities of emergency logistics suppliers were evaluated from the perspective of suppliers by utilizing the Cloud TOPSIS. Based on the characteristics of emergency logistics，a comprehensive evaluation index system for emergency logistics suppliers was constructed from five aspects: emergency response capability，material quality，cost control，emergency response flexibility，and internal and external conditions of the enterprise. Drawing on the ideas of game theory，the objective weights obtained by the improved entropy weight method and the subjective weights obtained by Analytic Hierarchy Process (AHP) were taken as game opponents to determine the optimal combination of weights. The cloud model was used to solve for the decision-making cloud of indicators and the weighted cloud for the fuzzy qualitative evaluation semantics quantification of suppliers. Finally，using the TOPSIS method，the positive and negative ideal solution sets were constructed，and the relative closeness to these ideal solutions was determined by calculating the distance of alternative solutions，thus identifying the optimal alternative. Research indicates that the Indicator Decision Cloud can accurately quantify evaluative language，and the results of the Cloud-TOPSIS method are more reasonable. In the ranking of suppliers' relative closeness，the difference between the best and worst calculated by the Cloud-TOPSIS method is 0.331 5，while for the TOPSIS method，it is 0.088 2，with a difference of 0.243 3. This suggests that the evaluation results of the Cloud-TOPSIS method have a greater degree of differentiation，which can more intuitively assist decision-makers in making optimal choices.