| 一种基于变精度粗糙集模型的数据挖掘方法 |
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| 引用本文： | 韩中华,吴成东,赵贞丽,张娜.一种基于变精度粗糙集模型的数据挖掘方法[J].科技广场,2007(7):87-89. |
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| 作者姓名： | 韩中华 吴成东 赵贞丽 张娜 |
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| 作者单位： | 1. 沈阳建筑大学信息与控制工程学院,辽宁,沈阳,110168
2. 沈阳建筑大学建设项目管理公司,辽宁,沈阳,110168 |
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| 基金项目： | 沈阳市科技局和建设部基金 |
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| 摘 要： | 通过分析Pawlak粗糙集模型在数据挖掘中应用的局限性,提出了一种基于变精度粗糙集模型的数据挖掘方法。在数据挖掘中采用变精度粗糙集方法对胶合板缺陷数据进行属性约简和规则提取,并将所得规则用于分类。结果表明:变精度粗糙集改进了Pawlak粗糙集的不足,具有更高的可靠性和鲁棒性。
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| 关 键 词： | 变精度粗糙集 数据约简 规则提取 数据挖掘 |
| 文章编号： | 1671-4792-（2007）7-0133-03 |
an Approach of Data Mining Based on Variable Precision Rough Set Model |
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| Han Zhonghua,Wu Chengdong,Zhao Zhenli,Zhang Na.an Approach of Data Mining Based on Variable Precision Rough Set Model[J].Science Mosaic,2007(7):87-89. |
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| Authors: | Han Zhonghua Wu Chengdong Zhao Zhenli Zhang Na |
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| Institution: | 1.School of Information, Shenyang Jianzhu University, Liaoning Shenyang 110168; 2. Construction Project Management Company Shenyang Jianzhu University, Liaoning Shenyang 110168 |
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| Abstract: | The limitations of Pawlak rough set model which is applied in data mining is analyzed in this paper, and a method of data mining based on variable precision rough set model (VPRSM) is proposed. The method of VPRSM is used to deal with the problem of character reducing and rules distilling for the defect data of wood veneer. With the result which obtained by taking the distilling rules to make classification, it can be proved experimentally that the VPRSM improved the Pawlak RSM and the method of data mining based on VPRSM is much more credible and robust. |
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| Keywords: | Variable Precision Rough Set Character Reduction Rules Distilling Data Mining |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
