The grey cluster model with fixed weights is introduced, then a new evaluation model based on trigonal whitenization weight function is formulated.

在灰色定权聚类模型的基础上，提出了一种基于三角白化权函数的评估模型。

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Based on classify criterion matrix, single-valued whitenization weight function and reliability code, grey attribute recognition clustering method is put forward.

运用分类标准矩阵、单指标白化权函数和置信度原则，提出了基于属性识别的灰色聚类方法。

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In Grey Clustering, it puts forward a kind of Improved Grey Clustering method which combines Grey Relation Clustering with Grey Whitenization weight Function Clustering by Grey Relation Analysis.

此方法利用灰关联分析将传统的灰关联聚类与灰类白化权函数聚类方法结合在一起来对事物进行聚类。

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In Grey Clustering, it puts forward a kind of Improved Grey Clustering method which combines Grey Relation Clustering with Grey Whitenization weight Function Clustering by Grey Relation Analysis.

此方法利用灰关联分析将传统的灰关联聚类与灰类白化权函数聚类方法结合在一起来对事物进行聚类。

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