Finally, we construct a general rough set model and an information measure model for classification and preference learning.
最后,本文基于广义的粗糙模型统一了一般分类问题和有序分类问题的粗糙计算模型,并为各种粗糙计算模型提出了统一的信息度量理论,从而形成了一大类决策问题的粗糙计算理论。
参考来源 - 混合数据知识发现的粗糙计算模型和算法·2,447,543篇论文数据，部分数据来源于NoteExpress
后者和模糊性有关，并且可用于语言和感觉中的信息度量。
The later is related to fuzziness and can be used to measure information in language and sensation.
胡国定教授基于“概念的内涵与外延的反比例关系律”这种思想，给出了一种信息度量方法。
Professor Hu Guoding proposed a method of measuring information based on the philosophy that connotation and denotation of a concept satisfies inverse ratio rule.
特征子集的不确定性系数是一种单调的特征子集信息度量，因此可以将它作为特征选择度量。
The uncertainty coefficient is an information measure for a feature subset, and it is monotonic, so it can be taken as the feature selection measure.
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