Rough集理论在社保DSS中的应用

Application of Rough Set Theory in Social Insurance DSS

文章将Rough集理论应用于社会保险决策支持系统,对社保DSS中的数据进行属性及属性值的约简,挖掘其中隐含的知识,从而得出最小决策规则。结果表明,Rough集理论为决策支持系统提供了一种有效的新的数学方法。

This paper applies Rough set theory in Social Insurance Decision Support System and processes the data reduction of Social Insurance DSS and the mining of the hidden knowledge. Finally, the minimal decision - making regulation is educed. The results show that Rough set theory provides an effective and novel mathematics method for Decision Support System.