Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (24): 40-41.DOI: 10.3778/j.issn.1002-8331.2010.24.012

• 研究、探讨 • Previous Articles     Next Articles

Fuzzy clustering analysis based on Vague sets

PENG Fang-yan1,LIANG Jia-rong1,WU Hua-jian2   

  1. 1.College of Computer and Electronic Information,Guangxi University,Nanning 530004,China
    2.Department of Mathematics and Computer Science,Yulin Normal University,Yulin,Guangxi 537000,China
  • Received:2009-02-25 Revised:2009-04-15 Online:2010-08-21 Published:2010-08-21
  • Contact: PENG Fang-yan



  1. 1.广西大学 计算机与电子信息学院,南宁 530004
    2.玉林师范学院 数学与计算机科学系,广西 玉林 537000
  • 通讯作者: 彭芳艳

Abstract: The new clustering analysis method based on Vague-similar relationship is presented.Constructing a similar relationship Vague matrix,the fuzzy clustering analysis is carried on by using the method of net-making.The results of clustering analysis are more comprehensive.An example is given to show that the method is efficient.

Key words: Vague sets, similar relationship, clustering analysis, the method of net-making

摘要: 提出了一种新的基于Vague相似关系的聚类方法。通过构造Vague相似关系矩阵,运用编网法进行模糊聚类分析,使得聚类分析的结果更加全面。用具体实例验证方法的有效性。

关键词: Vague集, 相似关系, 聚类分析, 编网法

CLC Number: