Region Vector Based Attribute Reducts in Decision-Theoretic Rough Sets

DOI10.1007/978-3-319-25783-9_32zbMath1444.68226OpenAlexW2406014734MaRDI QIDQ3300275

Guoshun Huang, Y. Y. Yao

Publication date: 28 July 2020

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

Full work available at URL: https://doi.org/10.1007/978-3-319-25783-9_32

zbMATH Keywords

discernibility matrixattribute reductiondecision-theoretic rough sets

Mathematics Subject Classification ID

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

Related Items (1)

Class-specific attribute reducts in rough set theory

Cites Work

• Unnamed Item
• Unnamed Item
• Decision region distribution preservation reduction in decision-theoretic rough set model
• Attribute reduction in decision-theoretic rough set models
• Approaches to knowledge reduction based on variable precision rough set model.
• Cost-sensitive attribute reduction in decision-theoretic rough set models
• On an optimization representation of decision-theoretic rough set model
• Generalized probabilistic approximations of incomplete data
• Minimum cost attribute reduction in decision-theoretic rough set models
• Non-Monotonic Attribute Reduction in Decision-Theoretic Rough Sets
• Rough sets
• A Note on Attribute Reduction in the Decision-Theoretic Rough Set Model

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