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科学的应急救援协同决策理论方法,不但能使应急管理系统更好地发挥作用,而且能使政府及公众的应急救援行为更加规范和有序.为此,针对应急环境下决策信息不完全的背景,研究构建了一类综合集成网络层次分析法(ANP)、证据理论(D-SEvidence Theory)以及改进的理想点法(TOPSIS)的混合多属性应急协同决策方法.其中ANP用于处理应急救援方案非独立和相互联系的评价指标权重的确立,D-S Theory用于处理不完全信息条件下多个部门对应急救援候选方案的不同评价信息融合,改进的理想点法(TOPSIS)则用于最终候选应急救援方案的排序.研究结果表明,所提出的混合多属性协同决策方法不仅在理论上有所集成创新,而且在实际应用中可以有效解决应急环境下多部门或多环节协同决策问题.
Scientific emergency rescue collaborative decision-making theory and method not only make the emergency management system play a better role, but also make the government and the public’s emergency rescue behavior more standardized and orderly.Therefore, in the emergency environment, incomplete information background decision-making , A hybrid multi-attribute emergency collaborative decision-making method based on integrated integrated network analytic hierarchy process (ANP), evidence theory (D-SEvidence Theory) and improved point method (TOPSIS) Independent and interrelated evaluation indexes, DS Theory is used to fuse different evaluation information of multiple departments to emergency rescue candidate under the condition of incomplete information. The improved ideal point method (TOPSIS) is used for the final candidate emergency The results show that the proposed hybrid multi-attribute collaborative decision-making method not only has the theory of integrated innovation, but also effectively solves the multi-sector or multi-part collaborative decision-making under emergency environment.