| 规则不确定性的几种度量及其相互关系 |
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| 引用本文： | 李仁璞,王正欧. 规则不确定性的几种度量及其相互关系[J]. 系统工程理论与实践, 2004, 24(1): 83-87. DOI: 10.12011/1000-6788(2004)1-83 |
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| 作者姓名： | 李仁璞 王正欧 |
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| 作者单位： | 天津大学系统工程研究所 |
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| 基金项目： | 国家自然科学基金(60275020) |
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| 摘 要： | 对目前广泛应用的基于粗集理论和信息熵的几种规则不确定性度量准则进行了比较分析,通过定理证明了它们之间存在不一致性以及发生不一致时的必要条件,并从不同角度揭示了它们之间的相互关系.最终为下一步构建更有效的不确定性度量的指明了方向.
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| 关 键 词： | 数据挖掘 规则抽取 不确定性 粗糙集 信息熵 |
| 文章编号： | 1000-6788(2004)01-0083-05 |
| 修稿时间： | 2002-12-12 |
Several Measures of Uncertainty of Rules and Their Relations |
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| LI Ren-pu,WANG Zheng-ou. Several Measures of Uncertainty of Rules and Their Relations[J]. Systems Engineering —Theory & Practice, 2004, 24(1): 83-87. DOI: 10.12011/1000-6788(2004)1-83 |
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| Authors: | LI Ren-pu WANG Zheng-ou |
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| Affiliation: | Institute of Systems Engineering, Tianjin University |
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| Abstract: | Measures based on rough set theory and information entropy for rule uncertainty have widely got research, but the relationships between them have not attracted much attention so far. In this paper, several uncertainty measures based on rough set theory and information entropy are compared and analyzed. We proved that they exist inconsistency in evaluating uncertainty of rules and gave the necessary condition of occurring the inconsistency. Also the relationships among these measures are summarized from different views. Finally the further directions of building more efficient uncertainty measure are proposed. |
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| Keywords: | data mining rule extracting uncertainty rough sets information entropy |
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