4.7 Article

Subset neighborhood rough sets

期刊

KNOWLEDGE-BASED SYSTEMS
卷 237, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.knosys.2021.107868

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

向作者/读者索取更多资源

We introduce a new type of neighborhood called subset neighborhood, defined under an arbitrary binary relation using the inclusion relations between N-rho-neighborhoods. We study its relationships with existing neighborhood systems and propose S-rho-lower and S-rho-upper approximations, as well as accuracy and roughness measures based on S-rho-neighborhoods. We compare our approach with existing ones and highlight the advantages in obtaining accuracy measures under specific relations. Two medical examples are provided to support the obtained results.
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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据