Vague cluster analysis based on vague smilar and max-tΔ transitivity

doi:10.3778/j.issn.1002-8331.2010.35.046

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (35): 159-162.DOI: 10.3778/j.issn.1002-8331.2010.35.046

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Vague cluster analysis based on vague smilar and max-tΔ transitivity

CHEN Jun-ming¹，LI Hong-xia²

1.Math. & Statistics College of Chongqing Technology and Business University，Chongqing 400067，China
2.Administration College of Chongqing Technology and Business University，Chongqing 400067，China

Received:2009-06-29 Revised:2009-07-30 Online:2010-12-11 Published:2010-12-11
Contact: CHEN Jun-ming

Vague相似max-t_Δ传递性模糊聚类

陈均明¹，李红霞²

1.重庆工商大学数学与统计学院，重庆 400067
2.重庆工商大学管理学院，重庆 400067

通讯作者: 陈均明

Abstract

Abstract: A new similar method of Vague sets is proposed which based on the difference of true membership degree and of false membership degree and of scores and on the sum of definition.Then clustering in vague sets are transfered into in fuzzy sets，that is，first calculate the similar degree between two Vague objects and get a classical fuzzy similar matrix，then utilize max-t_Δ transitivity for fuzzy clustering.This clusting method makes that calculating is more simple，the loss information is more less，and the clusting is more exact.

摘要： 提出同时考虑真隶属度之差、假隶属度之差、得分值之差和清晰度之和的Vague值相似度量方法。将Vague聚类转化为经典模糊集聚类：先计算Vague对象两两之间的相似度，得到经典模糊相似矩阵，然后运用max-t_Δ传递性进行聚类。这种聚类法计算更简单，丢失信息更少，聚类更准确。

关键词: 相似度, max-t_Δ传递性, 模糊等价关系, 聚类, 丢失信息

CLC Number:

TP391

CHEN Jun-ming¹，LI Hong-xia². Vague cluster analysis based on vague smilar and max-tΔ transitivity[J]. Computer Engineering and Applications, 2010, 46(35): 159-162.

陈均明¹，李红霞². Vague相似max-t_Δ传递性模糊聚类[J]. 计算机工程与应用, 2010, 46(35): 159-162.

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Vague cluster analysis based on vague smilar and max-tΔ transitivity

Vague相似max-t_Δ传递性模糊聚类

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Vague cluster analysis based on vague smilar and max-tΔ transitivity

Vague相似max-tΔ传递性模糊聚类

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Vague相似max-t_Δ传递性模糊聚类