基于组合赋权与灰色改进TOPSIS方法的受灾点应急物质需求紧迫性分级评价

Classification Evaluation of Urgency of Disaster Point Emergency Material Demand Based on Combination Weighting and Improved TOPSIS Method

大规模事件的发生会造成多个应急救援受灾点的巨大物资需求,在有限的时间、应急资源和运输能力约束下,为了提高救援效率,需要按照需求点的应急物质需求紧迫性进行应急资源的调度和配送的优先级安排。采用熵权法和层次分析法相结合的方法确定各指标的组合权重系数,利用灰色关联分析改进TOPSIS方法的基本思想建立受灾点应急物质需求紧迫性分级模型,并以湖北省2016年7月发生的洪涝灾害各受灾点应急物质需求紧迫性分级为例,对所建立的模型的实用性进行了验证。结果表明:该评价方法适用于受灾点应急物质需求紧迫性分级研究,通过将该评价结果与传统TOPSIS方法的计算结果进行了比较,进一步证明了该方法的科学性和有效性,可为应急救援物资配送提供有效支持和决策。

Occurrence of a large scale event causes enormous material demand involved with a number of emergency rescue disaster points.Under the constrain of the limited time,emergency resources and transport capacity,emergency resource scheduling and distribution should be arranged in accordance with the urgency of the relief demand of each disaster point to improve rescue efficiency.This paper mainly uses the combination weighting method and the Analytic Hierarchy Process(AHP)method to determine the combined weighting coefficients of each index,and uses the improved method of Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)method by gray relational analysis to establish the urgency classification model of the relief demand of disaster points.Furthermore,the paper takes the flood disaster demand points of Hubei Province in July2016as an example to verify the established model.The result shows that the method is suitable for study of urgency classification of the relief demand,and the comparison between the evaluation results obtained by the established model and TOPSIS method further proves the scientificity and validity of the evaluation method,which may provide effective support for the distribution of relief supplies.