The Satisfaction Degree Control Mining Method Applied in the Airport Emergency Rescue Scale Decision-Making
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium（2009）
摘要
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.
更多查看译文
关键词
association rule algorithm,abnormal sample,satisfaction degree control theory,rescue scale,mining process,decision making,assistant decision making rule base system,association rule,airports,satisfaction degree control mining method,service industries,satisfaction degree,rational rule direction,control mining,method applied,abnormal data,decision support systems,decision maker,satisfaction degree control,airport,data mining,data mining method,airport emergency rescue scale decision making,scale decision-making,satisfaction degree control mining,airport emergency rescue,association rules,algorithm design and analysis,evaluation function,rule based,control theory
AI 理解论文
溯源树
样例
生成溯源树，研究论文发展脉络
Chat Paper
正在生成论文摘要