Attribute reduction algorithm of neighborhood rough set based on supervised granulation and its application-Reference-Cited by-同舟云学术

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Attribute reduction algorithm of neighborhood rough set based on supervised granulation and its application

Published:2022-09-06 Issue:3 Volume:27 Page:1565-1582
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Zou Li,Ren Siyuan,Sun Yibo,Yang Xinhua

Funder

the national science foundation of china

the liaoning provincial educational department project

the liaoning provincal xingliao talent program project for young top talents

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-022-07454-5.pdf

Reference48 articles.

1. Chen TQ, Liu JH, Zhu F, Wang YH, Liu J, Chen J (2018) A novel multi-radius neighborhood rough set weighted feature extraction method for remote sensing image classification. Geomat Inf Sci Wuhan Univ 43(02):311–317. https://doi.org/10.13203/j.whugis20150290

2. Chen YC, Li O, Sun Y (2018) Attribute reduction based on clustering discretization and variable precision neighborhood entropy. Control Decis 33(08):1407–1414. https://doi.org/10.13195/j.kzyjc.2017.0512

3. Chen YM, Qin N, Li W, Xu FF (2018c) Granule structures, distances and measures in neighborhood systems. Knowl-Based Syst 165:268–281. https://doi.org/10.1016/j.knosys.2018.11.032

4. Chu XL, Sun BZ, Li X, Han KY, Wu JQ, Zhang Y, Huang QC (2020) Neighborhood rough set-based three-way clustering considering attribute correlations: an approach to classification of potential gout groups. Inf Sci 535:28–41. https://doi.org/10.1016/j.ins.2020.05.039

5. Deng ZX, Zheng ZL, Deng DY (2021) F-neighbor rough sets and its reduction. Acta Automatica Sinica 47(03):695–705. https://doi.org/10.16383/j.aas.c180556

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