一种基于多指标语言评价信息的聚类方法

A New Approach to Clustering Multi-index Linguistic Assessment Information

针对一类特征指标值和指标权重均为语言评价信息的聚类问题,提出了一种新的聚类分析方法.首先对基于多指标语言评价信息的聚类问题进行了描述;然后依据传统的基于数值信息的编网模糊聚类分析方法的基本思路,在将语言短语转换成三角模糊数的基础上,给出了解决多指标语言评价信息聚类问题的计算步骤.最后,通过给出一个算例说明了所提出的聚类分析方法.该聚类方法拓宽了编网聚类分析方法在解决基于多指标语言评价信息聚类方面的应用.

With respect to a kind of clustering problem of which both the value of characteristic index and weight of index are of linguistic assessment information, a new approach is presented for cluster analysis. Defining such problems and by virtue of the conventional fuzzy cluster analysis via digital information networking. All the abbreviations are converted then expressed into triangular fuzzy numbers to give the computational steps so as to solve the clustering problems of multi-lndex linguistic assessment information. A numerical example is given to illustrate the new approach to cluster analysis, which is available to widen the applications of networking cluster analysis to multi-index linguistic assessment information.