| 结合ROUGH集的决策树构建方法 |
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| 引用本文： | 韦萍萍.结合ROUGH集的决策树构建方法[J].重庆工学院学报,2007,21(17):101-103. |
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| 作者姓名： | 韦萍萍 |
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| 作者单位： | 贵州教育学院数学与计算机科学系,贵阳550003 |
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| 基金项目： | 广东省科学技术项目（05003348）. |
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| 摘 要： | 针对构造决策树时，分类属性的选择直接影响分类效果的问题，提出了一种新的属性选择分类标准——集合分类粗糙度，该标准结合了ROUGH集知识表示与决策树构造的特性，能在总数不变的情况下，使叶结点的层次在一定程度上上浮．
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| 关 键 词： | Rough集 决策树 集合分类粗糙度 |
| 文章编号： | 1671-0924（2007）09-0101-03 |
| 收稿时间： | 2007-07-20 |
Constructing Method for Decision Trees Based on Rough Sets |
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| WEI Ping-ping.Constructing Method for Decision Trees Based on Rough Sets[J].Journal of Chongqing Institute of Technology,2007,21(17):101-103. |
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| Authors: | WEI Ping-ping |
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| Affiliation: | Department of Mathematics and Computer Science, Guizhou Institute of Education, Guiyang 550003, China |
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| Abstract: | During constructing a decision, how to select classified attributes influences the effect of classification. This paper introduces a new way for selecting attributes, called Sets Classify Roughness, which is based on Rough sets theory and the characteristic of the decision tree and can elevate the level of leaf node to a degree when the total number does not change. |
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| Keywords: | rough sets decision tree Sets Classify Roughness |
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