Attribute reduction with fuzzy divergence-based weighted neighborhood rough sets

DOI10.1016/j.ijar.2024.109256zbMATH Open1547.6875MaRDI QIDQ6596713

Nguyen Ngoc Thuy, Sartra Wongthanavasu

Publication date: 2 September 2024

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

zbMATH Keywords

attribute reductionfuzzy divergence\(\alpha\)-certainty regiondecision information systemsweighted neighborhood rough sets

Mathematics Subject Classification ID

Knowledge representation (68T30) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Cites Work

• Neighborhood rough set based heterogeneous feature subset selection
• Probabilistic rough set approximations
• Some new information measures for fuzzy sets
• Attribute reduction based on \(k\)-nearest neighborhood rough sets
• A novel fuzzy rough set model with fuzzy neighborhood operators
• A novel method to attribute reduction based on weighted neighborhood probabilistic rough sets
• Accelerator for supervised neighborhood based attribute reduction
• Monotonic uncertainty measures for attribute reduction in probabilistic rough set model
• Evidence-theory-based numerical algorithms of attribute reduction with neighborhood-covering rough sets
• Rough sets
• Student-\(t\) kernelized fuzzy rough set model with fuzzy divergence for feature selection
• Bi-directional adaptive neighborhood rough sets based attribute subset selection
• A soft neighborhood rough set model and its applications

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