| 基于粗糙集约简的决策林构建方法 |
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| 引用本文： | 王名扬,胡清华,于达仁.基于粗糙集约简的决策林构建方法[J].计算机工程,2009,35(15):193-194. |
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| 作者姓名： | 王名扬 胡清华 于达仁 |
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| 作者单位： | 1. 东北林业大学信息与计算机工程学院,哈尔滨150040;哈尔滨工业大学航天学院,哈尔滨150001
2. 哈尔滨工业大学航天学院,哈尔滨,150001 |
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| 基金项目： | 东北林业大学青年科研基金资助项目 |
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| 摘 要： | 针对如何提高决策林的分类精度问题，提出一种基于粗糙集约简构建决策林的技术，包括基于逐次数据约筒构建粗糙决策林和基于遗传算法构建粗糙决策林。对3个UCI数据集的验证表明，基于遗传算法构建的粗糙决策林获得了更好的分类效果。
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| 关 键 词： | 决策林 粗糙集 约简 遗传算法 |
| 修稿时间： | |
Construction Method of Decision Forests Based on Rough Set Reduction |
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| WANG Ming-yang,HU Qing-hua,YU Da-ren.Construction Method of Decision Forests Based on Rough Set Reduction[J].Computer Engineering,2009,35(15):193-194. |
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| Authors: | WANG Ming-yang HU Qing-hua YU Da-ren |
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| Affiliation: | 1.College of Information and Computer Engineering;Northeast Forestry University;Harbin 150040;2.School of Astronautic;Harbin Institute of Technology;Harbin 150001 |
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| Abstract: | This paper proposes a technique to construct decision forests based on rough set reduction to enhance the classification performance of decision forests.It includes two methods:one is based on sequentially data reduction to construct rough decision forests,the other is based on genetic algorithm to construct rough decision forests.Experimental results in three data sets of UCI show that the rough decision forests constructed by genetic algorithm get better classification performances. |
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| Keywords: | decision forests rough set reduction genetic algorithm |
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