| Rough集理论在社保DSS中的应用 |
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| 引用本文： | 彭巧珍.Rough集理论在社保DSS中的应用[J].南昌航空工业学院学报,2009,23(1):60-62. |
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| 作者姓名： | 彭巧珍 |
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| 作者单位： | 南昌航空大学计算机学院,江西,南昌,330063
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| 基金项目： | 南昌航空大学科研基金 |
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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.
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| 关 键 词： | Rough集 数据挖掘 知识发现 社保DSS |
Application of Rough Set Theory in Social Insurance DSS |
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| PENG Qiao-zhen.Application of Rough Set Theory in Social Insurance DSS[J].Journal of Nanchang Institute of Aeronautical Technology(Natural Science Edition),2009,23(1):60-62. |
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| Authors: | PENG Qiao-zhen |
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| Institution: | School of Computing;Nanchang Hangkong University;Nanchang;Jiangxi 330063;china |
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| 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. |
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| Keywords: | rough set data mining knowledge discovery social insurance DSS |
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