Dynamic and Discernibility Characteristics of Different Attribute Reduction Criteria

DOI10.1007/978-3-319-99368-3_49zbMath1518.68393OpenAlexW2885379343MaRDI QIDQ6104490

Dominik Ślęzak, Soma Dutta

Publication date: 28 June 2023

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

Full work available at URL: https://doi.org/10.1007/978-3-319-99368-3_49

zbMATH Keywords

rough setsinconsistent decision tablesdiscernibility characteristics of decision reductsdynamic decision reducts

Mathematics Subject Classification ID

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

Related Items (7)

On generalization reducts in multi-scale decision tables ⋮ Feature selection and disambiguation in learning from fuzzy labels using rough sets ⋮ Min-max attribute-object bireducts: on unifying models of reducts in rough set theory ⋮ Rough set-based feature selection for weakly labeled data ⋮ Quantitative three-way class-specific attribute reducts based on region preservations ⋮ Belief functions and rough sets: survey and new insights ⋮ Uncertainty representation in dynamical systems using rough set theory

Cites Work

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• Consistency-based search in feature selection
• On the completeness of the semigraphoid axioms for deriving arbitrary from saturated conditional independence statements
• On Generalized Decision Functions: Reducts, Networks and Ensembles
• A Treatise on Rough Sets
• Approximate Boolean Reasoning: Foundations and Applications in Data Mining
• On Reduct Construction Algorithms

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