Fuzzy Covering based Rough Sets Revisited

被引:0
|
作者
D'eer, Lynn [1 ]
Cornelis, Chris [1 ,2 ]
Sanchez, Daniel [2 ,3 ]
机构
[1] Univ Ghent, Dept Appl Math Comp Sci & Stat, B-9000 Ghent, Belgium
[2] Univ Granada, Dept Comp Sci & Artificial Intelligence, E-18071 Granada, Spain
[3] European Ctr Soft Comp, Asturias, Spain
关键词
rough sets; fuzzy sets; covering; approximation operators;
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
In this paper we review four fuzzy extensions of the so-called tight pair of covering based rough set approximation operators. Furthermore, we propose two new extensions of the tight pair: for the first model, we apply the technique of representation by levels to define the approximation operators, while the second model is an intuitive extension of the crisp operators. For the six models, we study which theoretical properties they satisfy. Moreover, we discuss interrelationships between the models.
引用
收藏
页码:651 / 658
页数:8
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