| 一种基于聚类的粗糙集连续属性的离散化算法 |
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| 引用本文： | 项新建,Stolle.M.一种基于聚类的粗糙集连续属性的离散化算法[J].浙江科技学院学报,2003,15(3):154-157. |
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| 作者姓名： | 项新建 Stolle.M |
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| 作者单位： | 1. 浙江科技学院,信息与电气工程学系,浙江,杭州,310012
2. 汉诺威技术学院,汉诺威,德国 |
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| 基金项目： | FundsgrantedbyZhejiangProvincicalNaturalScienceFoundation(6 0 2 0 0 7) |
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| 摘 要： | 粗糙集理论是一种新的处理不精确、不完全与不相容知识的数学工具。粗糙集理论只能对离散属性进行处理，而不能处理连续属性。中针对这一缺陷，利用连续数值属性有序性的性质和统计方差理论，提出了一种基于聚类的连续属性离散化算法。运用典型数据将本算法与现有方法进行了比较分析，得到了满意的结果。
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| 关 键 词： | 连续属性离散化 离散化算法 聚类 粗糙集理论 数值属性 数据 数学工具 方差 相容 性质 |
An algorithm of discretization of continuous attributes in rough sets based on cluster |
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| Stolle.M.An algorithm of discretization of continuous attributes in rough sets based on cluster[J].Journal of Zhejiang University of Science and Technology,2003,15(3):154-157. |
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| Authors: | StolleM |
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| Abstract: | Rough set theory is a new mathematical tool to deal with imprecise, incomplete and inconsistent data. The rough set theory can only deal with the discrete attributes. It can not deal with the continuous attributes. In order to overcome the limitation, by using the character of in size order for continuous attributes and error theory of statistics, this paper proposes an algorithm of discretization based on cluster. The result of comparison between this algorithm and some existing methods of discretization is encouraging. |
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| Keywords: | cluster error theory rough set discretization of continuous attributes |
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