A Generalized Multi-granulation Rough Set Approach

被引：0
|
作者：
Xu, Weihua [1 ]
Zhang, Xiantao [1 ]
Wang, Qiaorong [1 ]
机构：
[1] Chongqing Univ Technol, Sch Math & Stat, Chongqing 400054, Peoples R China
来源：
BIO-INSPIRED COMPUTING AND APPLICATIONS | 2012年 / 6840卷
关键词：
Information level; Lower and upper approximation sets; Multi-granulation rough set; Supporting characteristic function; Majority granulations;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A generalized multi-granulation rough set is proposed in this paper. In the new model, supporting characteristic function is defined and a parameter called information level is introduced to investigate that an object supports a concept precisely under majority granulations. Moreover, some important properties are discussed on the new multi-granulation rough set. And it can be found that the proposed model is more valid than old multiple granulation rough set models and Pawlak rough set model.
引用
收藏
页码：681 / 689
页数：9
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