基于集值统计的直觉模糊聚类  

Intuitionistic Fuzzy Clustering Based on Set-valued Statistics

作　　者：陈晓明[1] 姚泽清[2] 

机构地区：[1]解放军理工大学通信工程学院,江苏南京210007 [2]解放军理工大学理学院,江苏南京211101

出　　处：《模糊系统与数学》2011年第3期100-108,共9页Fuzzy Systems and Mathematics

摘　　要：针对聚类问题中样品属性值不能或很难直接给出的情况,提出了一种基于集值统计的直觉模糊聚类方法,讨论了四种情况下的属性直觉模糊相似矩阵的公式,给出了聚类方法的步骤,最后通过算例对该方法进行了说明和分析。Considering the situation that the sample attribute values can not or hardly be presented directly,this paper develops an intuitionistic fuzzy clustering method based on set-valued statistics.The formula of intuitonistic fuzzy similarity matrix is discussed in four different situations and the steps of clustering method are given.Finally,a numerical example is given to illustrate and analyze the proposed method.

关 键 词：聚类 集值统计 直觉模糊相似矩阵 

分 类 号：O159[理学—数学]