A Formal Concept Analysis Approach to Rough Data Tables

DOI10.1007/978-3-642-21563-6_3zbMath1305.68165OpenAlexW2742356083MaRDI QIDQ5892634

Christian Meschke, Bernhard Ganter

Publication date: 29 July 2011

Published in: Transactions on Rough Sets XIV (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-21563-6_3

Mathematics Subject Classification ID

Database theory (68P15) Learning and adaptive systems in artificial intelligence (68T05) Knowledge representation (68T30) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (15)

Exploring users' preferences in a fuzzy setting ⋮ A comprehensive survey on formal concept analysis, its research trends and applications ⋮ Approximation operators based on preconcepts ⋮ Algebras from Semiconcepts in Rough Set Theory ⋮ Kripke contexts, double Boolean algebras with operators and corresponding modal systems ⋮ Three-way reduction for formal decision contexts ⋮ Algebraic Methods for Granular Rough Sets ⋮ On Generalized Decision Functions: Reducts, Networks and Ensembles ⋮ Rough-set concept analysis: interpreting RS-definable concepts based on ideas from formal concept analysis ⋮ On the connection of hypergraph theory with formal concept analysis and rough set theory ⋮ Fuzzy and rough formal concept analysis: a survey ⋮ Data meaning and knowledge discovery: semantical aspects of information systems ⋮ Rough set approaches in knowledge structures ⋮ On attribute reduction in concept lattices: methods based on discernibility matrix are outperformed by basic clarification and reduction ⋮ A constructing approach to multi-granularity object-induced three-way concept lattices

Cites Work

• Computing iceberg concept lattices with Titanic
• A Formal Concept Analysis Approach to Rough Data Tables
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: A Formal Concept Analysis Approach to Rough Data Tables