一种基于群体语言相似矩阵的聚类方法

针对多个专家给出语言相似矩阵的聚类分析问题，提出一种新的编网聚类分析方法。首先描述具有群体语言相似矩阵的聚类问题并介绍近年来国际上最新发展的二元语义概念及其算子；其次。基于二元语义信息处理的方法，将每个专家给出的语言相似矩阵转化为二元语义形式，再采用二元语义集结算子进行群的集结；然后依据传统的编网聚类方法的基本思路。给出基于群体语言相似矩阵的聚类分析方法的计算步骤。最后通过一个算例说明了本文给出的方法。

A Clustering Method Based on Linguistic Similarity Matrices

With respect to clustering analysis problems with the linguistic similarity matrices provided by multiple experts, a new net-making clustering analysis method is proposed. In this paper, firstly, the clustering analysis problem with linguistic similarity matrices is described, and the two-tuple linguistic concept and its operator developed in recent years are (introduced.) Secondly, based on the approach to two-tuple linguistic processing, linguistic similarity matrices given by (experts) are transformed into the form of two-tuple linguistic, and the two-tuple linguistic aggregation operator is used to (aggregate) the linguistic similarity matrix given by each expert into the group one. Then, according to the basic ideas of (traditional) net-making clustering method, the calculation steps of the clustering analysis method with linguistic similarity (matrices) is developed. Finally, a numerical example is used to illustrate the method proposed in this paper.