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张建军1;张静波2
(1. 长安大学 研究生部, 陕西 西安 710064;2. 西安电子科技大学 计算机学院, 陕西 西安 710071)
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A noval rough set theory-based decision table discretization algorithm
ZHANG Jian-jun1;ZHANG Jing-bo2
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摘要: 主要研究了粗糙集理论在决策表离散化中的应用,提出了一种新的基于粗糙集理论的决策表离散化算法.该算法是一种基于决策表属性重要性的算法,首先使用条件属性与决策属性的互信息来度量条件属性的重要性,并据此对条件属性按照重要性由小到大排序,然后按排序后的顺序,考察每个条件属性的所有断点,将冗余的断点去掉,从而将条件属性离散化.
关键词: 粗糙集, 决策表离散化, 数据挖掘
Abstract: The application of the rough set theory in the discretization of the decision table is studied, and a noval discretization algorithm based on the rough set theory is presented. The algorithm of this paper is based on the importance of condition attributes. Firstly, the iner-information between condition attributes and decision attributes is used to measure the importance of condition attributes, according to which the condition attributes are sorted in a descending order. Secondly, all break points of every condition attributes are examined and the redundant ones are climinated. Finally, each value in the decision table is replaced by a number representing the break point, and then the decision table is discretized.
Key words: rough set, decision table discretization, data mining
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张建军1;张静波2. 一种新的基于粗糙集理论的决策表离散化算法[J]. J4, 2004, 31(3): 469-472.
ZHANG Jian-jun1;ZHANG Jing-bo2.
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链接本文: https://journal.xidian.edu.cn/xdxb/CN/
https://journal.xidian.edu.cn/xdxb/CN/Y2004/V31/I3/469
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