Knowledge reduction based on the equivalence relations defined on attribute set and its power set

DOI10.1016/j.ins.2007.01.037zbMath1122.68126OpenAlexW1970331042MaRDI QIDQ2372215

Wen-Xiu Zhang, Ling Wei, Hong-Ru Li

Publication date: 25 July 2007

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2007.01.037

zbMATH Keywords

closure operatorinformation systemknowledge discoveryclosed setequivalence relationattribute reduction

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Knowledge representation (68T30) Computing methodologies for information systems (hypertext navigation, interfaces, decision support, etc.) (68U35)

Related Items (13)

Reductions and saturation reductions of (abstract) knowledge bases ⋮ Approaches to knowledge reduction of covering decision systems based on information theory ⋮ A novel approach for reducing attributes and its application to small enterprise financing ability evaluation ⋮ Three-way attribute reducts ⋮ Searching for Reductive Attributes in Decision Tables ⋮ Dependence space models to construct concept lattices ⋮ Dependence-space-based attribute reduction in consistent decision tables ⋮ Nullity-based matroid of rough sets and its application to attribute reduction ⋮ \(\ast\)-reductions in a knowledge base ⋮ A Model of User-Oriented Reduct Construction for Machine Learning ⋮ Research on Rough Set Theory and Applications in China ⋮ The further investigation of covering-based rough sets: uncertainty characterization, similarity measure and generalized models ⋮ Class-specific attribute reducts in rough set theory

Cites Work

• Approaches to knowledge reduction based on variable precision rough set model.
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• Set-valued information systems
• Knowledge reduction in random information systems via Dempster-Shafer theory of evidence
• Approaches to knowledge reductions in inconsistent systems
• Rough set methods and applications. New developments in knowledge discovery in information systems. Dedicated to the memory of Prof. Adam Mrózek (1949-1999)
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