Adapting fuzzy rough sets for classification with missing values

DOI10.1007/978-3-030-87334-9_16zbMath1495.68195OpenAlexW3200585564MaRDI QIDQ2670895

Oliver Urs Lenz, Chris Cornelis, Daniel Peralta

Publication date: 1 June 2022

Full work available at URL: http://hdl.handle.net/1854/LU-8725630

zbMATH Keywords

machine learningmissing valuesinterval-valued fuzzy setsfuzzy rough sets

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Uses Software

• UCI-ml
• HandTill2001
• Dlib-ml

Cites Work

• Unnamed Item
• Twofold fuzzy sets and rough sets - some issues in knowledge representation
• Rough set approach to incomplete information systems
• Techniques for dealing with incomplete data: a tutorial and survey
• Abstraction and pattern classification
• Rough Sets, Coverings and Incomplete Information
• ROUGH FUZZY SETS AND FUZZY ROUGH SETS*
• Rough sets
• Fuzzy sets
• A simple generalisation of the area under the ROC curve for multiple class classification problems

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