1) Weighted average applicability
加权平均贴近度
2) sample average of the closeness
样本平均贴近度
1.
In the process of estimating the regression parameters with linear programming(LP) method,we give a principle of evaluating the fitness of the model,using the sample average of the closeness.
在使用线性规划LP方法进行模糊回归系数估计时,根据模糊集合的择近原则,给出了利用样本平均贴近度评价模型拟合效果的一个准则。
3) multi-dimension weighted similar degree
多维加权贴近度
1.
Similar degree between object plan and each plan in plan-base is evaluated by using multi-dimension weighted similar degree method.
用多维加权贴近度方法可以很好的计算出方案库中的方案与目标方案的相似程度,相似程度最高的方案即为最优方案。
2.
A case retrieval model is proposed,which combines multi-concept-learning decision tree algorithm and multi-dimension weighted similar degree and fuzzy synthesis evaluation.
该文提出了一种将多概念学习的决策树算法、多维加权贴近度法与模糊综合评判法相结合的事例检索模型,并根据事例状态的属性设计了几种隶属度函数。
4) Hamming weighted proximity
加权Hamming贴近度
5) proximity-weighted average
近似加权平均值
6) 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。
补充资料：广泛基础加权平均
广泛基础加权平均 Broad-Based Weighted Average
定义：
在企业进行后续发行时，保护现有优先股股东的反摊薄条款。
解释：
广泛基础加权平均条款适用于所有以往发行的股票及当时进行发行的股票。