The Satisfaction Degree Control Mining Method Applied in the Airport Emergency Rescue Scale Decision-Making
Jingyi Jiang, Songchen Han, Xinming Tang · 2009
According to the absence of rational rule direction in the present scale decision-making of airport emergency rescue, this article puts forward a data mining method based on the satisfaction degree control theory. This method plants the satisfaction degree evaluating function into the Association Rule Algorithm of the data mining, in order to identify the abnormal data with keeping the integrity of the sample, and then control the mining process. Finally, The experiment result shows that it not only establishes an effective assistant decision-making rule base of the airport emergency rescue for the decision maker to make a more reasonable decision, but also improves the mining process on treating abnormal sample by using the satisfaction degree evaluating model, opening up a new research field of the control mining.