| 粗糙集文本分类的应用研究 |
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| 引用本文： | 王仲华,卢娇丽,郑家恒.粗糙集文本分类的应用研究[J].太原师范学院学报(自然科学版),2008,7(1):31-34. |
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| 作者姓名： | 王仲华 卢娇丽 郑家恒 |
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| 作者单位： | 1. 太原师范学院数学系,山西,太原,030012
2. 山西大学现代教育技术中心,山西,太原,030006 |
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| 摘 要： | 文章提出了一种利用粗糙集理论生成文本分类规则的方法.首先,抽取特征词并计算权重.然后,在权值离散化之后,构造决策表.其中,特征词作为条件属性,类别作为决策属性.之后,将文本用属性约简和属性相对约简进行处理,得出决策规则.最后给出分类算法.
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| 关 键 词： | 粗糙集 决策表 属性约简 |
The Application of Rough Set Theory in Text Categorization |
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| Wang Zhonghua,Lu Jiaoli,Zheng Jiaheng.The Application of Rough Set Theory in Text Categorization[J].Journal of Taiyuan Normal University:Natural Science Edition,2008,7(1):31-34. |
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| Authors: | Wang Zhonghua Lu Jiaoli Zheng Jiaheng |
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| Institution: | Wang Zhonghua Lu Jiaoli Zheng Jiaheng(1.Department of Mathematics,Taiyuan Normal University,Taiyuan 030012;2.Modern Education Center,Shanxi University,Taiyuan 030006,China) |
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| Abstract: | A method of text categorization based on rough set is presented.Firstly,We extract the keywords and discrete the weights of these key words.Then the decision table is made with weights asthe condition attributes and classes of texts as the decision attributes.Afterthat,the categorizing rules are extracted by attribute reduction and relative reduction.Finally,the categorizing algorithm is given. |
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| Keywords: | rough set decision table reduction of attributes |
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