Subset neighborhood rough sets

被引:46
|
作者
Al-shami, Tareq M. M. [1 ]
Ciucci, Davide [2 ]
机构
[1] Sanaa Univ, Dept Math, POB 1247, Sanaa, Yemen
[2] Univ Milano Bicocca, Dept Informat Syst & Commun, Viale Sarca 336, I-20126 Milan, Italy
关键词
Rough sets; N rho-neighborhood; E rho-neighborhood; S rho-neighborhood; S rho-lower and  S rho-upper approximations; S rho-accuracy measure; COVID-19; APPROXIMATIONS;
D O I
10.1016/j.knosys.2021.107868
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We present a novel kind of neighborhood, named subset neighborhood and denoted asS(rho)-neighborhood. It is defined under an arbitrary binary relation using the inclusion relations between N-rho-neighborhoods. We study its relationships with some kinds of neighborhood systems given in the literature. Then, we formulate the concepts of S-rho-lower and S-rho-upper approximations, and S-rho-accuracy and roughness measures based on S-rho-neighborhoods. We show in which cases the S-rho-accuracy measure is the highest among related approximations and investigate under which conditions the S-rho-accuracy and S-rho-roughness measures are monotonic. Moreover, we compare our approach with two existing ones and elucidate the advantages of our technique to obtain accuracy measures under some specific relations. To support the obtained results, we provide two medical examples. (c) 2021 Elsevier B.V. All rights reserved.
引用
收藏
页数:11
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