1) without density weighting
无需密度加权平均
2) mass-weighed averaging
祝密度加权平均
3) population-weighted average concentration
密度加权平均浓度
4) Density weighted averaging middle operator
密度加权平均中间算子
1.
Density weighted averaging middle operator and application in multi-attribute decision making;
密度加权平均中间算子及其在多属性决策中的应用
5) Weighted mean roughness
加权平均粗糙度
1.
This paper introduces the connotations of the decision tree algorithm and the method for constructing of the decision tree algorithm,improves the decision tree algorithm constructed by using the weighted mean roughness,and illustrates the advantages of the improvement algorithm with the example.
介绍了决策树算法的含义和构筑方法,对基于加权平均粗糙度构造决策树算法进行改进,通过实例说明了改进算法的优势。
2.
We presented weighted mean roughness, a new concept based on rough sets theory which is regarded as the criteria for choosing attributes.
基于粗糙集的理论提出了加权平均粗糙度的概念 ,将其作为选择分离属性的标准。
3.
In the process of constructing a decision tree, weighted mean roughness, a new concept based on rough set theory which is regarded as the criteria for choosing attributes is applied.
在构造决策树的过程中,基于粗集的理论运用了加权平均粗糙度的概念,并将其作为选择分离属性的标准。
6) Weighted average applicability
加权平均贴近度
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