Research on the Novel Weighted Fuzzy Clustering Algorithm based on Fuzzy Sets and Rough Set Theory

被引：0
|
作者：
Chen, Liwei [1 ]
机构：
[1] SouthWest Univ Sci & Technol, Coll Comp Sci & Technol, Mianyang 621010, Peoples R China
来源：
PROCEEDINGS OF THE 2015 CONFERENCE ON INFORMATIZATION IN EDUCATION, MANAGEMENT AND BUSINESS | 2015年 / 20卷
关键词：
Weighted Fuzzy Clustering; Fuzzy Sets; Rough Set; Literature Review;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, we conduct research on the novel weighted fuzzy clustering algorithm based on fuzzy sets and rough set theory. Due to the large scale of data, in order to improve the efficiency of the clustering, we can use the attribute selection and data sampling to reduce the data size. We combine the characteristics of the fuzzy sets and rough set theory to optimize the prior objective function. In the near future, we plan to conduct more related research to polish the method.
引用
收藏
页码：7 / 11
页数：5
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