| 决策支持系统中粗糙集理论的应用研究 |
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| 引用本文： | 李楠,朱群雄.决策支持系统中粗糙集理论的应用研究[J].计算机工程,2003,29(1):76-78. |
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| 作者姓名： | 李楠 朱群雄 |
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| 作者单位： | 北京化工大学信息科学与技术学院,北京100029 |
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| 基金项目： | 国家自然科学基金项目（29976003），教育部科学技术研究重点项目（01024） |
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| 摘 要： | 粗糙集理论是近代新兴的数据处理方法，概率统计方法是传统数据处理方法，两者各有其优缺点。文章在对粗糙集理论进行深入研究的基础上，提出将两种方法结合，并在决策支持系统中应用，在系统的实现过程中提出了新的处理方法。
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| 关 键 词： | 粗集 化简表 概率统计 |
| 文章编号： | 1000-3428(2003)01-0076-03 |
| 修稿时间： | 2001年12月24 |
Research of the Rough Set Application in DSS |
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| LI Nan,ZHU Qunxiong.Research of the Rough Set Application in DSS[J].Computer Engineering,2003,29(1):76-78. |
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| Authors: | LI Nan ZHU Qunxiong |
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| Abstract: | Rough set is a new way to deal with data, while statistics is a traditional one. Both of them have merits and shortcomings. In this paper, the authors bring forward a new way to combine these methods. And apply this new way to a decision support system to test the accurateness of this new way. In order to simple this procedure, the authors use a new and simple way to deal with the data sets, which is between the traditional way of reduction and the way of Skowron's Matrix. After being tested by a set of data, it is proved to be right and effective. |
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| Keywords: | Rough set Reduction table DSS |
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