| 基于熵的粗糙集属性简约算法 |
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| 引用本文： | 李玉榕,乔斌,蒋静坪.基于熵的粗糙集属性简约算法[J].电路与系统学报,2002,7(3):8-12. |
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| 作者姓名： | 李玉榕 乔斌 蒋静坪 |
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| 作者单位： | 1. 福州大学,电气工程系,福建,福州,350002;浙江大学,电气工程学院,浙江,杭州,310027
2. 浙江大学,电气工程学院,浙江,杭州,310027 |
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| 基金项目： | 福建省自然科学基金项目资助(A0010006) |
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| 摘 要： | 本文定义了四种条件熵，并在此基础上提出了四种基于熵的方法，以用于粗糙集数据分析中的属性简约。举例说明了这四种基于熵的属性简约算法各自的优缺点。最后对两个实际数据库进行了测试，结果表明了所提出的基于熵的属性简约算法的有效性。
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| 关 键 词： | 熵 粗糙集 数据分析 属性简约 |
| 文章编号： | 1007-0249(2002)03-0008-05 |
Entropy Based Attribute Reduction Algorithms for Rough Sets |
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| LI Yu-rong ,QIAO Bin,JIANG Jing-ping.Entropy Based Attribute Reduction Algorithms for Rough Sets[J].Journal of Circuits and Systems,2002,7(3):8-12. |
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| Authors: | LI Yu-rong QIAO Bin JIANG Jing-ping |
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| Affiliation: | LI Yu-rong 1,2,QIAO Bin2,JIANG Jing-ping 1 |
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| Abstract: | Four kinds of condition entropy are defined in this paper. Accordingly, four kinds of entropy based methods for the attribute reduction in the rough set data analysis are proposed. The advantages and disadvantages of these methods are explained by examples respectively. Two real world databases are tested, showing the validity of the entropy based attributes reduction algorithms. |
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| Keywords: | entropy rough sets data analysis attributes reduction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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