【作者】 罗党； 秦玉慧；

【Author】 LUO Dang , QIN Yuhui ( College of Management & Economics, North China University of Water-Conservancy and Electric Power .Zhengzhou.450011 .China College of Mathematics and Information Sciences , North China University of Water-Conservancy and Electric Power ,Zhengzhou,450011 .China;)

【机构】 华北水利水电学院数学与信息科学学院； 华北水利水电学院管理与经济学院；

【摘要】 对聚类系数无显著性差异的灰色聚类问题进行了研究．运用分类标准矩阵、单指标白化权函数和置信度准则,提出了灰色属性识别聚类方法．该方法充分利用了已有信息和置信度准则,避免了在聚类系数向量中分量取大时出现聚类系数无显著性差异的问题,使聚类结果更加客观、准确．文中实例说明了该方法的有效性和合理性．更多还原

【Abstract】 The problem of grey clustering with grey cluster coefficients being not distinguished is discussed. Based on classify criterion matrix, single-valued whitenization weight function, reliability code, grey attribute recognition clustering method is given. This method uses adequately intrinsic information and reliability code, avoiding the problem of being not distinguished differences of cluster coefficients when we search the maximal heft in the clustering vector, such that the clustering conclusion is more objective and nicety. The final example is used to demonstrate the rationality and validity of this method.更多还原