CAJ | 학술논문

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.
궤장응급구원공작적규모결책대우창구생명재산지관중요.침대목전구원규모결책결핍합리규칙지도적문제,제출료일충기우만의도공제적수거알굴방법.해방법장만의도이론중적선택함수화거절함수식입수거알굴관련규칙산법중,재보지양본완호성적동시식별이양수거,공제알굴진정,건립유효적궤장응급구원보조결책규칙고,용이보조결책자작출경위과학합리적결책.실험결과표명,해산법능알굴출합리적응급구원규모결책규칙,제고알굴적준학성화효솔.
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.