为了更合理高效地在灾害发生时对不同受灾点进行应急救援，提出了一种基于组合赋权的优劣解距离法（technique for order preference by similarity to an ideal solution, TOPSIS）模型，对受灾点救援需求紧迫度进行分级研究。首先，分析受灾点救援需求紧迫度的影响因素，构建受灾点救援需求紧迫度评价指标体系；其次，综合运用客观权重赋值法（criteria importance though intercrieria correlation, CRITIC）和熵权法对各指标进行组合赋权；然后，运用组合赋权-TOPSIS法对受灾点救援需求紧迫度量化分级；最后，以汶川地震为背景进行算例分析，结果表明：组合赋权所得权值相比单一赋权能够得到更加客观合理的结果，有利于灾害发生情况下应急管理部门更加及时、准确、有序地进行应急救援。

In order to carry out emergency rescue for different disaster affected points more reasonably and efficiently, a model based on the combination weighting-technique for order preference by similarity to an ideal solution(TOPSIS) model was proposed and a hierarchical study on the urgency of rescue demand at disaster affected points was carried out. Firstly, based on analyzing the influencing factors of the urgency of rescue demand at disaster affected points, an evaluation index system for the urgency of rescue demand at disaster affected points was constructed. Secondly, the comprehensive weight of each index was obtained through criteria importance though intercrieria correlation (CRITIC) and entropy weight method. Then, the urgency of rescue demand at disaster affected points was quantitatively classified based on the combination weighting-TOPSIS method. Finally, a case study was conducted with the Wenchuan Earthquake as the object. The results show that the weights obtained from the combination weighting can get more objective and reasonable results than the single weighting, which is conducive to the emergency management department to carry out emergency rescue in a more timely, accurate, and orderly manner in the event of disasters.