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基于直觉模糊集距离测度的多属性直接聚类方法
引用本文:王银军,李克典.基于直觉模糊集距离测度的多属性直接聚类方法[J].漳州师院学报,2012(3):27-31.
作者姓名:王银军  李克典
作者单位:漳州师范学院数学与信息科学系,福建漳州363000
基金项目: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)
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,然后根据不同的阚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.

关 键 词:直觉模糊集  距离测度  相异度矩阵

Multiple Attribute Direct Clustering Method Based on Distance Measure of Intuitionistic Fuzzy Sets
WANG Yin-jun,LI Ke-dian.Multiple Attribute Direct Clustering Method Based on Distance Measure of Intuitionistic Fuzzy Sets[J].Journal of ZhangZhou Teachers College(Philosophy & Social Sciences),2012(3):27-31.
Authors:WANG Yin-jun  LI Ke-dian
Institution:1.Department of Mathematics and Information Science, Zhangzhou Normal University, Zhongzhou, Fujian 363000, China; 2. Department of Mathematics and Information Science, Zhangzhou Normal University, Zhongzhou, Fujian 363000, China)
Abstract: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.
Keywords:intuitionistic fuzzy Sets  distance measure  dissimilarity matrix
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