| 基于粗糙集的两阶段规则提取算法与有效性度量 |
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| 引用本文： | 时希杰,沈睿芳,吴育华. 基于粗糙集的两阶段规则提取算法与有效性度量[J]. 计算机工程, 2006, 32(3): 60-61 |
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| 作者姓名： | 时希杰 沈睿芳 吴育华 |
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| 作者单位： | 天津大学管理学院,天津,300072;河北经贸大学信息技术学院,石家庄,050061 |
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| 摘 要： | 在总结分析现有规则提取算法的基础上，提出了一种新的带覆盖度和置信度因子的两阶段规则提取算法，以解决噪音数据产生的噪音规则问题，并提出了一个衡量算法有效性的指标——支持度。实例表明，该算法能够有效地去除噪音规则，使提取出的规则更加精练实用。
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| 关 键 词： | 粗糙集 规则提取 噪音规则 支持度 |
| 文章编号： | 1000-3428（2006）03-0060-02 |
| 收稿时间： | 2005-01-05 |
| 修稿时间： | 2005-01-05 |
Two-stage Rule Extraction Algorithm and Effectiveness Measurement Based on Rough Sets |
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| SHI Xijie,SHEN Ruifang,WU Yuhua. Two-stage Rule Extraction Algorithm and Effectiveness Measurement Based on Rough Sets[J]. Computer Engineering, 2006, 32(3): 60-61 |
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| Authors: | SHI Xijie SHEN Ruifang WU Yuhua |
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| Abstract: | The current rule extraction algorithms are summarized. A two-stage rule extraction algorithm is proposed. This algorithm has covering and confidence factors to eliminate noise rules produced by noise data. Supporting degree is presented to measure the algorithm validity. Through running an example, the algorithm is shown to be able to eliminate noise rules and make the rules extracted simpler and more practical. |
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| Keywords: | Rough sets Rule extraction Noise rules Supporting degree |
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