| 一种基于正区域及其分类纯度的决策树算法 |
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| 引用本文： | 蒋慧平,费耀平.一种基于正区域及其分类纯度的决策树算法[J].湖南广播电视大学学报,2011(3):57-59. |
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| 作者姓名： | 蒋慧平 费耀平 |
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| 作者单位： | 1. 中南大学信息科学与工程学院,湖南长沙,410012
2. 中南大学现代教育技术中心,湖南长沙,410012 |
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| 摘 要： | 本文分析了基于正区域的决策树生成算法的不足，针对这些不足，提出了基于正区域及其分类纯度的决策树算法。该方法计算简单，易于理解，并用实例说明了该方法的优越性。
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| 关 键 词： | 粗糙集 决策树 正区域 分类纯度 |
An Algorithm for Decision Tree Based on Positive Region and Its Classification Ability |
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| JIANG Hui-ping,FEI Yao-ping.An Algorithm for Decision Tree Based on Positive Region and Its Classification Ability[J].Joournal of Hunan Radio and Televistion University,2011(3):57-59. |
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| Authors: | JIANG Hui-ping FEI Yao-ping |
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| Institution: | JIANG Hui-ping,FEI Yao-ping |
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| Abstract: | In this paper, disadvantages of algorithm for constructing decision tree based on positive region are analyzed. Aiming at these disadvantages, a new algorithm for decision tree based on positive region and its classification ability is proposed. The method is simple and easy- to- understand. The example shows that the method is effective. |
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| Keywords: | rough sets decision tree positive region classification ability |
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