针对以上两种决策树特点,提出了基于知识粗糙度的混合变量决策树的构造方法,选择知识粗糙度较小的分类属性来构造决策树。
Aim to upwards points, in this paper, advance a knowledge roughness based approach to hybrid decision tree, select less knowledge roughness as tested attribute to construct decision tree.
针对以上两种决策树特点,提出了基于知识粗糙度的混合变量决策树的构造方法,选择知识粗糙度较小的分类属性来构造决策树。
Aim to upwards points, in this paper, advance a knowledge roughness based approach to hybrid decision tree, select less knowledge roughness as tested attribute to construct decision tree.
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