Multi-confidence rule acquisition and confidence-preserved attribute reduction in interval-valued decision systems

DOI10.1016/j.ijar.2014.05.007zbMath1433.68458OpenAlexW2090213254MaRDI QIDQ459050

Jinhai Li, Xiao Zhang, Chang-Lin Mei, De-Gang Chen

Publication date: 8 October 2014

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2014.05.007

zbMATH Keywords

combinatorial optimizationattribute reductioninterval-valued decision systemrule acquisitionoptimal rule

Mathematics Subject Classification ID

Knowledge representation (68T30) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (8)

Comparison of reduction in formal decision contexts ⋮ Test-cost-sensitive attribute reduction on heterogeneous data for adaptive neighborhood model ⋮ Feature selection in mixed data: a method using a novel fuzzy rough set-based information entropy ⋮ Two-dimensional improved attribute reductions based on distance granulation and condition entropy in incomplete interval-valued decision systems ⋮ A general unified framework for interval pairwise comparison matrices ⋮ Ensemble-based neighborhood attribute reduction: a multigranularity view ⋮ Feature selection and approximate reasoning of large-scale set-valued decision tables based on \(\alpha\)-dominance-based quantitative rough sets ⋮ Incremental updating of rough approximations in interval-valued information systems under attribute generalization

Cites Work

• An interval set model for learning rules from incomplete information table
• Rudiments of rough sets
• Rough sets: some extensions
• Rough sets and Boolean reasoning
• Fuzzy rough set theory for the interval-valued fuzzy information systems
• Variable precision rough set model
• Rules in incomplete information systems
• A rough set approach for the discovery of classification rules in interval-valued information systems
• A grey-based rough approximation model for interval data processing
• Interval ordered information systems
• Rough set theory for the interval-valued fuzzy information systems
• Rough sets
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