| 结合ROUGH集的决策树构建方法 |
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| 引用本文： | 韦萍萍,WEI Ping-ping. 结合ROUGH集的决策树构建方法[J]. 重庆理工大学学报(自然科学版), 2007, 21(9): 101-103 |
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| 作者姓名： | 韦萍萍 WEI Ping-ping |
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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 |
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 University of Technology(Natural Science), 2007, 21(9): 101-103 |
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| Authors: | WEI Ping-ping |
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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 |
| 本文献已被 CNKI 等数据库收录！ |
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