基于满意度控制的机场应急救援决策规则的数据挖掘

摘要: 机场应急救援工作的规模决策对于抢救生命财产至关重要. 针对目前救援规模决策缺乏合理规则指导的问题， 提出了一种基于满意度控制的数据挖掘方法. 该方法将满意度理论中的选择函数和拒绝函数植入数据挖掘关联规则算法 中，在保持样本完好性的同时识别异样数据，控制挖掘进程，建立有效的机场应急救援辅助决策规则库，用以辅助决策 者作出更为科学合理的决策. 实验结果表明，该算法能挖掘出合理的应急救援规模决策规则，提高挖掘的准确性和效率.

Data Mining for Airport Emergency Rescue Decision-Making Rule Controlled by Satisfaction Degree

The scale of decision-making in airport emergency rescue operations is extremely important to save people and properties. In view of the current absence of reasonable rules for the rescue scale decision-making, a data mining method based on the satisfaction control is proposed. The selection and rejection functions of the satisfaction theory are planted into the association rule algorithm in the data mining. It tries to identify abnormal data while keeps integrity of the samples, and controls the mining process. An effective rule base of the airport emergency rescue is established to assist decision-making, which can help the decision maker make a more reasonable decision. Experiment result shows that the proposed method provides reasonable rules for the emergency rescue scale decision-making, and improves accuracy and efficiency of the data mining.