cluster analysis is argued to process based on weighted distance coefficient and system similarity methods to enhance the validity of the clustering result 提出以加权距离和系统相似度量方法为基础进行聚类分析,提高聚类结果的有效性。
classification and decision-making function is established to solve the product instance . the minimum weighted distance classifier and the maximum system similarity classifier is designed to enhance the precision of classification . the minimum risk decision-making based on system similarity is founded to minimize the loss brought by decision-making 针对机械产品实例建立分类决策函数,设计了最小加权距离分类器和最大系统相似度分类器,在保证适用范围的前提下提高分类的精度,并提出基于系统相似度的最小风险决策,确保决策带来的损失最小。
classification and decision-making function is established to solve the product instance . the minimum weighted distance classifier and the maximum system similarity classifier is designed to enhance the precision of classification . the minimum risk decision-making based on system similarity is founded to minimize the loss brought by decision-making 针对机械产品实例建立分类决策函数,设计了最小加权距离分类器和最大系统相似度分类器,在保证适用范围的前提下提高分类的精度,并提出基于系统相似度的最小风险决策,确保决策带来的损失最小。
after the weightiness of product attributes being researched, a new method is established to calculate the weight of attributes . the method is applied in weighted distance coefficient and system similarity to measure similarity degree . it enhances the objectivity and accuracy of the similarity measures 探讨了在相似度量中机械产品系统特征属性的重要性问题,提出一种新的权重值确定方法,在此基础上建立加权距离系数法,并研究了系统相似度量方法,提高了相似度量的客观性与准确性。