基于直觉模糊等价相异矩阵的聚类方法  

Clustering method based on intuitionistic fuzzy equivalent dissimilarity matrix

作　　者：蔡茹[1] 雷英杰[1] 申晓勇[1] 雷阳[1] 

机构地区：[1]空军工程大学导弹学院,陕西三原713800

出　　处：《计算机应用》2009年第1期123-126,共4页journal of Computer Applications

基　　金：国家自然科学基金资助项目(60773209);陕西省自然科学基金资助项目(2006F18)

摘　　要：针对直觉模糊集合数据的聚类问题,提出了一种基于直觉模糊等价相异矩阵的聚类方法。该方法首先给出直觉模糊相异区间的概念,并构建了直觉模糊相异矩阵;然后定义了直觉模糊等价相异矩阵和(α,β)截矩阵,进而给出直觉模糊聚类算法;最后将其应用于目标编群领域,通过实例验证该算法的有效性。Aiming at the problems of clustering for the data of Intuitionistic Fuzzy Sets, a clustering method based on the intuitionistic fuzzy equivalent dissimilarity matrix was proposed. Firstly, the concept of intuitionistic fuzzy dissimilar interval was defined in the method, and the approach of constructing the intuitionistic fuzzy dissimilarity matrix was also presented. Then, the intuitionistic fuzzy equivalent dissimilarity matrix and （ c~,/~l） cutting matrices were given. Moreover, an algorithm for intuitionistic fuzzy clustering was proposed. Finally, the clustering algorithm was applied to the field of target classification and the validity was proved by the instance.

关 键 词：直觉模糊集合 直觉模糊聚类 相异区间 等价相异矩阵 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程] TP391[自动化与计算机技术—控制科学与工程]