Rough Set Analysis of Classification Data with Missing Values

DOI10.1007/978-3-319-60837-2_44zbMath1489.68304OpenAlexW2716575950MaRDI QIDQ5082227

Marcin Szeląg, Slowinski, Roman, Jerzy Błaszczyński

Publication date: 15 June 2022

Published in: Rough Sets (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-60837-2_44

zbMATH Keywords

rough setmissing valuesdominance-based rough set approachindiscernibility-based rough set approach

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (2)

Dominance-Based Rough Set Approach: Basic Ideas and Main Trends ⋮ Rough Set Analysis of Classification Data with Missing Values

Cites Work

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• Monotonic variable consistency rough set approaches
• Rough set approach to multiple criteria classification with imprecise evaluations and assignments
• Rough set approach to incomplete information systems
• Dominance-based rough set approach and knowledge reductions in incomplete ordered information system
• Rough Set Analysis of Classification Data with Missing Values
• Rough sets theory for multicriteria decision analysis

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