Duality, conjugacy and adjointness of approximation operators in covering-based rough sets

被引:57
|
作者
Restrepo, Mauricio [1 ]
Cornelis, Chris [2 ]
Gomez, Jonatan [1 ]
机构
[1] Univ Nacl Colombia, Dept Comp Sci & Engn, Bogota, Colombia
[2] Univ Granada, Dept Comp Sci & Artificial Intelligence, Granada, Spain
关键词
Rough sets; Coverings; Approximations; Adjointness; Galois connections; BINARY RELATION; REDUCTION; SYSTEMS;
D O I
10.1016/j.ijar.2013.08.002
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Many different proposals exist for the definition of lower and upper approximation operators in covering-based rough sets. In this paper, we establish relationships between the most commonly used operators, using especially concepts of duality, conjugacy and adjointness (also referred to as Galois connection). We highlight the importance of the adjointness condition as a way to provide a meaningful link, aside from duality, between a pair of approximation operators. Moreover, we show that a pair of a lower and an upper approximation operator can be dual and adjoint at the same time if and only if the upper approximation is self-conjugate, and we relate this result to a similar characterization obtained for the generalized rough set model based on a binary relation. (C) 2013 Elsevier Inc. All rights reserved.
引用
收藏
页码:469 / 485
页数:17
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