Parameterized local reduction of decision systems

DOI10.1155/2012/857590zbMath1264.68167DBLPjournals/jam/ChenYZ12OpenAlexW2160063569WikidataQ58907489 ScholiaQ58907489MaRDI QIDQ1952964

Xiao Zhang, Yanyan Yang, De-Gang Chen

Publication date: 3 June 2013

Published in: Journal of Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2012/857590

zbMATH Keywords

attribute reductiondecision systems\(\theta\)-local reductions

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Related Items (1)

Min-max attribute-object bireducts: on unifying models of reducts in rough set theory

Uses Software

• UCI-ml

Cites Work

• Variable precision rough set model
• Approaches to knowledge reduction based on variable precision rough set model.
• Rough set approach to incomplete information systems
• Dependence-space-based attribute reductions in inconsistent decision information systems
• Knowledge acquisition in incomplete information systems: a rough set approach
• Knowledge reduction in random information systems via Dempster-Shafer theory of evidence
• Rough reduction in algebra view and information view
• Approaches to knowledge reductions in inconsistent systems
• Reducts within the variable precision rough sets model: A further investigation
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