A novel incremental attribute reduction approach for dynamic incomplete decision systems
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Publication:1726411
DOI10.1016/j.ijar.2017.12.002zbMath1452.68235OpenAlexW2772082296MaRDI QIDQ1726411
Publication date: 20 February 2019
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ijar.2017.12.002
Related Items (16)
Object similarity measures and Pawlak's indiscernibility on decision tables ⋮ A unified incremental updating framework of attribute reduction for two-dimensionally time-evolving data ⋮ Matrix representation of the conditional entropy for incremental feature selection on multi-source data ⋮ Incremental updating three-way regions with variations of objects and attributes in incomplete neighborhood systems ⋮ Efficient approaches for maintaining dominance-based multigranulation approximations with incremental granular structures ⋮ Feature selection based on composition of rough sets induced by feature granulation ⋮ Cost-sensitive approximate attribute reduction with three-way decisions ⋮ Pseudo-label neighborhood rough set: measures and attribute reductions ⋮ Cost-sensitive three-way class-specific attribute reduction ⋮ A general reduction method for fuzzy objective relation systems ⋮ Attribute reduction based on \(k\)-nearest neighborhood rough sets ⋮ Discernibility matrix based incremental feature selection on fused decision tables ⋮ Incremental updating probabilistic neighborhood three-way regions with time-evolving attributes ⋮ A unified incremental reduction with the variations of the object for decision tables ⋮ Incremental updating probabilistic approximations under multi-level and multi-dimensional variations in hybrid incomplete decision systems ⋮ Lower approximation reduction based on discernibility information tree in inconsistent ordered decision information systems
Uses Software
Cites Work
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