Abstract:

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 decisionmaking,
and improves accuracy and efficiency of the data mining.

Key words: airport emergency rescue, scale decision-making, satisfaction degree, association rule, data mining