A MATHEMATICAL EXTENSION OF ROUGH SET-BASED ISSUES TOWARD UNCERTAIN INFORMATION ANALYSIS

DOI10.1142/S1793005711002062zbMath1236.68241OpenAlexW2095457888MaRDI QIDQ5388705

Hiroshi Sakai, Kohei Hayashi, Dominik Ślęzak, Michinori Nakata

Publication date: 19 April 2012

Published in: New Mathematics and Natural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s1793005711002062

zbMATH Keywords

uncertaintyrough setsincomplete informationinformation analysisnon-deterministic information

Mathematics Subject Classification ID

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

Uses Software

• LERS

Cites Work

• Unnamed Item
• Transactions on Rough Sets XIV
• Representation of nondeterministic information
• Attribute selection with fuzzy decision reducts
• Multi-criteria classification -- a new scheme for application of dominance-based decision rules
• Variable-precision dominance-based rough set approach and attribute reduction
• Global discretization of continuous attributes as preprocessing for machine learning
• Variable precision rough set model
• A rough logic based on incomplete information and its application
• Rules in incomplete information systems
• A rough set approach for the discovery of classification rules in interval-valued information systems
• On Databases with Incomplete Information

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