Semi-Supervised Fuzzy-Rough Feature Selection

DOI10.1007/978-3-319-25783-9_17zbMath1444.68157OpenAlexW2287320286MaRDI QIDQ3300267

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Publication date: 28 July 2020

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://biblio.ugent.be/publication/6994757

zbMATH Keywords

feature selectionsemi-supervised learningfuzzy-rough sets

Mathematics Subject Classification ID

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

Related Items (2)

Three-way decision-based tri-training with entropy minimization ⋮ Three-way decision with co-training for partially labeled data

Uses Software

• UCI-ml

Cites Work

• Unnamed Item
• Finding rough and fuzzy-rough set reducts with SAT
• Attribute selection with fuzzy decision reducts
• Upper and lower images of a fuzzy set induced by a fuzzy relation: Applications to fuzzy inference and diagnosis
• A comparative study of fuzzy rough sets

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