An Accelerating Reduction Approach for Incomplete Decision Table Using Positive Approximation Set

Due to the explosive growth of data collected by various sensors, it has become a difficult problem determining how to conduct feature selection more efficiently. To address this problem, we offer a fresh insight into rough set theory from the perspective of a positive approximation set. It is found...

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Detalles Bibliográficos
Autores principales: Yan, Tao, Han, Chongzhao, Zhang, Kaitong, Wang, Chengnan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949348/
https://www.ncbi.nlm.nih.gov/pubmed/35336382
http://dx.doi.org/10.3390/s22062211

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949348/
https://www.ncbi.nlm.nih.gov/pubmed/35336382
http://dx.doi.org/10.3390/s22062211

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