An extracting rules algorithm based on class feature matrix is presented,which has made use of the characteristic of discernibility matrix.
充分考虑了可辨识矩阵的特性,提出一种基于类别特征矩阵的决策规则提取算法。
参考来源 - 基于类别特征矩阵的决策规则提取算法·2,447,543篇论文数据，部分数据来源于NoteExpress
充分考虑了可辨识矩阵的特性，提出一种基于类别特征矩阵的决策规则提取算法。
An extracting rules algorithm based on class feature matrix is presented, which has made use of the characteristic of discernibility matrix.
接着对分布约简的可辨识矩阵中等价类的区分关系进行改进，提出一种新的近似约简算法。
Secondly, it introduces an improved algorithm which revises the discernibility relation of similarity sets on the basis of the Discernibility Matrix of distribution reduction.
本文基于可辨识矩阵提出一种连续属性离散化的方法，并利用平均互信息量对离散化结果进行修正。
The paper puts forward a method of discretization of continuous properties based on discernibility matrix and revises the discrete result by average mutual information.
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