摘要
对基于粗糙模糊集的聚类问题进行了研究.首先,定义了粗糙模糊值与粗糙模糊集的相似度,给出了粗糙模糊集相似度的一般表达式;然后利用该公式构建了模糊相似矩阵,进而给出了粗糙模糊集的一种聚类方法;最后以实际算例说明了这种思想.
To investigate the problems of clustering rough fuzzy sets. First, the similarity measures between rough fuzzy sets and between elements is defined, and a general expression of similarity degree on rough fuzzy sets is given; After that, fuzzy similarity matrix is con- structed with this formula; Moreover, an approach to clustering rough fuzzy sets is proposed. Finally, an actual numerical example is given to illustrate this idea.
出处
《数学的实践与认识》
CSCD
北大核心
2011年第21期227-231,共5页
Mathematics in Practice and Theory
基金
国家自然科学基金(60674056)
关键词
粗糙模糊集
相似度
模糊相似矩阵
最大树
聚类.
rough fuzzy set
similarity degree
fuzzy similarity matrix
maximal tree
clus- tering
