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群体分类偏好下的双重语言信息融合聚类方法

DOI: 10.13195/j.kzyjc.2014.0193, PP. 1044-1052

Keywords: 双重信息,聚类,语言变量,群体分类偏好

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Abstract:

研究一类基于双重信息融合的群体聚类方法.依据偏好信息下专家意见相似关系挖掘群体分类偏好信息;考虑专家决策依据向量的相似程度,设计一致性和非一致性测度指标,以表征双重维度下群体聚类的一致及差异度;以群体聚类结果差异最小为目标构建规划模型,测算属性权重,并以编网聚类的思想给出聚类结果.算例研究验证了所提出方法的科学性和合理性.

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