A generalized definition of rough approximation based on similarity in variable precision rough sets

被引：0
|
作者：
Zhao, SX [1 ]
Zhang, ZR [1 ]
机构：
[1] Shijiazhuang Railway Inst, Dept Math, Shijiazhuang, Hebei, Peoples R China
来源：
PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9 | 2005年
关键词：
rough sets; variable precision rough sets; similarity relation;
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：
Variable precision rough set theory (VPRS) is an important extension of rough set theory; it incorporates the use of indiscernibility relation (equivalence relation) to approximate sets of objects by beta-lower and beta-upper approximation. This paper extends the concepts to the case of more general relation-similarity relation. beta(*)-lower and beta(*)-upper approximation are proposed, which are extensional definitions of the classical concepts--beta-lower and beta-upper approximation.
引用
收藏
页码：3153 / 3156
页数：4
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