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铁路应急救援决策是铁路运输安全管理领域研究的热点之一.本文以铁路应急救援为背景，分析多智能体技术在铁路应急决策领域应用的可行性，提出一种基于分层Agent的铁路应急救援指挥控制结构，并分析了各层Agent的基本功能.根据各层Agent的结构特点设计决策推理的模型，采用基于模糊评价的方法实现管理Agent的决策机制，并阐述了决策算法的计算过程.最后通过一个具体的列车救援决策案例进行模型的验证.研究结果表明，将该方法应用在铁路应急救援决策领域具有可行性.Agent技术和模糊评价方法相结合的决策方法为研究铁路应急救援的智能化提供了新的思路.

Decision-Making Method of Railway Emergency Rescue Based on Hierarchical Agent

The decision making of railway emergent rescue is one of the important issues in the field of railway transportation safety management. In view of the current condition of railway emergent rescue, the paper analyzes the feasibility of the multi agent technology which is applied to the field of railway emergent decision making. Based on the hierarchical agent, it also investigates a new architecture of command and control for railway emergent rescue and analyzes its function of different layers. According to the characteristics of each agent layer, the model of decision making is designed. It realizes the decision mechanism of managing agent by fuzzy evaluation and describes the computing process of the decision making algorithm. Finally, the validation of the model has been conducted by a specific case of train emergent rescue. The results show that the proposed method is feasible for decision making of railway emergent rescue. 