On the basis of practice, this paper designs a scientific and complete evaluation system, and sets up a model for the evaluation by means of fuzzy cluster analysis.
本文在实践经验的基础上，设计了科学全面的评价指标体系，并采用模糊聚类分析方法建立了供应商评价模型。
With the minimum square sum of weighted Euclidean distances as the objective function, the unified theory and cyclical iteration model of fuzzy cluster, recognition and optimum decision are founded.
通过以全体样本对全体类别加权广义欧氏权距离平方和最小为目标函数，建立了模糊聚类、识别与优选决策统一的理论与循环迭代模型。
One model is fuzzy cluster analysis of gene expression data based on a cluster validity measure named Xie-Beni index.
一种模型是基于有效性测度谢白尼指数的基因表达数据的模糊聚类分析。
Next the general method of applying fuzzy ARTMAP model to feature level fusion is also expounded and we put forward a learning algorithm with adaptive vigilance parameters for each cluster.
继而研究了模糊artmap网络用于特征层融合识别的方法，并提出了一种网络警戒参数自适应调整新算法。
Fuzzy diagnosis need standard pulse model bank beforehand, while fuzzy cluster analysis is classified by feature without participation of any model.
模糊模式识别预先需要有标准脉象模型库，而模糊聚类分析事先没有任何模型参与，全按事物的特征分类。
Fuzzy diagnosis need standard pulse model bank beforehand, while fuzzy cluster analysis is classified by feature without participation of any model.
模糊模式识别预先需要有标准脉象模型库，而模糊聚类分析事先没有任何模型参与，全按事物的特征分类。
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