摘要
以遗传算法为主,结合了数据挖掘中的粗糙集理论,从商业银行的主要业务之一信用卡审批问题入手,初步研究了遗传算法在商业银行风险评估中的工作原理。从数据的预处理到系统应用的方法和流程做了详细的描述,实验显示该方案是可行有效的。
Based on the theoretical foundation of the genetic algorithms, combined with the rough set theory of data mining, starting from the credit card processing problems of commercial bank, make a preliminary study of the genetic algorithm in risk assessment works of commercial banks. Made a detailed description about the method of data pre-processing and the procedure of the system＇s application. The final test show that the project is effective.
出处
《青岛大学学报（自然科学版）》
CAS
2010年第2期38-42,共5页
Journal of Qingdao University(Natural Science Edition)
关键词
遗传算法
粗糙集
风险评估
数据预处理
genetic algorithm
rough set
risk assessment
data preprocessing
