Rough集理论在社保DSS中的应用
Application of Rough Set Theory in Social Insurance DSS
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摘要: 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.Abstract: 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.