| 一种基于粗糙集理论的双向选择属性约简算法 |
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| 引用本文： | 孔梦荣.一种基于粗糙集理论的双向选择属性约简算法[J].微电子学与计算机,2005,22(9):80-84. |
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| 作者姓名： | 孔梦荣 |
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| 作者单位： | 中原工学院计算机科学系,河南,郑州,450007 |
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| 摘 要： | 文章首先对粗糙集的基本理论进行了简要介绍,然后重点讨论粗糙集理论中的属性约简问题,在总结分析现有属性约简算法的基础上,提出了一种双向选择属性约简算法--BSARA,并用一个例子与其它算法进行了对比分析,结果表明该算法是可行和有效的.
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| 关 键 词： | 数据挖掘 粗糙集 属性约简 双向选择 算法 |
| 文章编号： | 1000-7180（2005）09-080-05 |
| 收稿时间： | 2005-01-16 |
| 修稿时间： | 2005年1月16日 |
A Bi-directional Selection Attribute Reduction Algorithm Based on Rough Sets Theory |
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| KONG Meng-rong.A Bi-directional Selection Attribute Reduction Algorithm Based on Rough Sets Theory[J].Microelectronics & Computer,2005,22(9):80-84. |
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| Authors: | KONG Meng-rong |
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| Abstract: | In this paper, the concepts of Rough Sets Theory are briefly introduced first. Then attribute reduction based on Rough Sets Theory is mainly discussed. Most current attribute reduction algorithms are first summarized and ana- lyzed. Then a new algorithm, Bi- directional Selection Attribute Reduction Algorithm (BSARA) is proposed. In the end, the algorithm is verified to be more feasible and effective than any others through running an example. |
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| Keywords: | Data mining Rough sets Attribute reduction Bi-directional selection Algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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