本文提出一种基于特征量化值(区间值，离散值或符号值)的多元分类树的构造方法。
A method for constructing multiway decision tree based on quantized feature values (such as interval values, discrete values and symbolic values) is proposed.
区间数学将有界不确定结构参数用超长方体即区间向量进行定量化，而凸模型理论则用椭球对有界不确定参数进行定量化。
Structural parameters with uncertain but bounded parameters are described by a hypercube-an interval vector in interval mathematics and by ellipsoid in convex models.
区间数学将有界不确定结构参数用超长方体即区间向量进行定量化，而凸模型理论则用椭球对有界不确定参数进行定量化。
Structural parameters with uncertain but bounded parameters are described by a hypercube-an interval vector in interval mathematics and by ellipsoid in convex models.
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