A novel method to attribute reduction based on weighted neighborhood probabilistic rough sets

DOI10.1016/j.ijar.2022.01.010OpenAlexW4210802150MaRDI QIDQ2128888

Haibo Jiang, Bao Qing Hu, Jingjing Xie

Publication date: 22 April 2022

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2022.01.010

zbMATH Keywords

information systeminformation entropyattribute reductiondata binningweighted neighborhood probabilistic rough set

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (4)

Topological reduction approaches for relation decision systems ⋮ Incremental reduction methods based on granular ball neighborhood rough sets and attribute grouping ⋮ Boundary region-based variable precision covering rough set models ⋮ Pointwise mutual information sparsely embedded feature selection

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