摘要
距离测度是度量两个直觉模糊集的重要方法,在聚类分析中被广泛应用.本文基于相异度矩阵的思想,在直觉模糊多属性聚类中,定义了距离测度矩阵,然后根据不同的阈值要求转化为布尔矩阵进行聚类,最后通过实例验证该方法的有效性.
Distance measure is an important method to measure two intuitionistic fuzzy sets.It is used widely in clustering analysis.This paper defined distance measure matrix based on dissimilarity matrix on multiple attribute clustering of intuitionistic fuzzy sets.Then we tranformed it to Boolean matrix clustering according to different threshold. Finally we use a numerical example to illustrate its effective.
出处
《漳州师范学院学报（自然科学版）》
2012年第3期27-31,共5页
Journal of ZhangZhou Teachers College（Natural Science)
基金
国家自然基金项目(10971185
10971186
71140004)
福建省资助省属高校科研专项(JK2011031)
关键词
直觉模糊集
距离测度
相异度矩阵
intuitionistic fuzzy Sets
distance measure
dissimilarity matrix
