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Nhan đề : 
Improved rough approximations based on variable J-containment neighborhoods
Tác giả : 
Tingting, Zheng
Năm xuất bản : 
2023
Nhà xuất bản : 
Springer
Tóm tắt : 
Classic generalized rough set model in neighborhood systems provides a more general framework for depicting approximations, while it may meet the non-reflexive situations. Some scholars put forward different neighborhoods, such as adhesion neighborhoods (briefly, Pj -neighborhoods), containment neighborhoods (briefly, Cj -neighborhoods), and Ej -neighborhoods. However, not all of them are reflexive. Moreover, the granularity of Pj -neighborhoods and Cj -neighborhoods are too fine, and that of Ej -neighborhoods too coarse. To solve the problem, we aim to design a novel construction approach of neighborhoods, called variable j-containment neighborhoods (briefly, Vβj -neighborhoods), which satisfies the reflexivity and the granularity so flexible that the neighborhood space can adjust the granularity to meet the needs of problems.
Mô tả: 
CC BY
URI: 
https://link.springer.com/article/10.1007/s41066-023-00379-w
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8038
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