A New Intuitionistic Fuzzy C-means Clustering Algorithm

摘要：

In recent years,data clustering analysis is required by the search of several areas in intuitionistic fuzzy environment.Recently some researchers committed to present intuitionistic fuzzy C-means clustering algorithms (IFCM)as the generalization of FCM.Let the characteristic index matrix of classified objects be A=(A1,A2,…,An) and c a given number of clusters.Let the characteristic index matrix of cluster centers be V=(V1,V2,…,,Vc).Both each object and cluster center have m characteristic index values.

关键词： IFCM Fuzzy approximation Inversion Convergence

作者: YANG Hua LI Juan ZHANG Cheng-yi

作者单位: Department of Mathematics and Statistics, Hainan Normal University, Haikou 571158, China Department of Mathematics and Physics, Qiongtai Teachers College, Haikou 571158, China

会议类型: 国内会议

会议名称: 第十二届中国Rough集与软计算学术会议、第六届中国Web智能学术研讨会及第六届中国粒计算学术研讨会联合学术会议

会议地点: 合肥

会议语种:英文

页码: 94-94

在线出版日期: 2012-10-13（万方平台首次上网日期，不代表论文的发表时间）