| 基于粗糙集的CBR规则提取的应用研究 |
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| 引用本文： | 陶铁军,王明杰. 基于粗糙集的CBR规则提取的应用研究[J]. 煤矿机械, 2009, 30(5) |
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| 作者姓名： | 陶铁军 王明杰 |
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| 作者单位： | 黑龙江科技学院信息网络中心,哈尔滨150027 |
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| 摘 要： | 粗糙集理论是一种新型的处理不精确问题的数据分析理论。将粗糙集理论应用于CBR中,用差别矩阵对决策表知识进行约简,发现并提取规则,建立基于粗糙集的范例索引;可有效地消除原CBR范例冗余属和数据嗓音。以滚动轴承噪声值样本为实例,通过计算和分析,证明该方法切实可行。
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| 关 键 词： | 粗糙集 知识约简 ROSE2 |
Application and Research of Rules Extraction in CBR Based on rough Set |
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| Abstract: | Rough set theory is a new wath theory that processes the non-accurate question.It is used in CBR to reduce data redundancy by using discrimination matrix,generates rules and creates a set of methods to index cases.it can also get rid off data noise and reduce data redundancy effectively.Based on roller bearing noise sample,through calculating and analysis,proves the feasibility of the method. |
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| Keywords: | rough set knowledge reduce ROSE2 |
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