L-concept lattices with positive and negative attributes: modeling uncertainty and reduction of size

DOI10.1016/j.ins.2018.08.057zbMath1441.68243OpenAlexW2889997302MaRDI QIDQ2200700

Eduard Bartl, Jan Konecny

Publication date: 22 September 2020

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

Full work available at URL: https://doi.org/10.1016/j.ins.2018.08.057

zbMATH Keywords

uncertaintyfuzzy logicformal concept analysislinguistic hedgesnegative informationfactorization by similarity

Mathematics Subject Classification ID

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

Related Items

Interface between logical analysis of data and formal concept analysis ⋮ Disjunctive attribute dependencies in formal concept analysis under the epistemic view of formal contexts ⋮ Systematic categorization and evaluation of CbO-based algorithms in FCA ⋮ Graph neural networks induced by concept lattices for classification ⋮ A comparative study of decision implication, concept rule and granular rule ⋮ Attribute implications in \textbf{L}-concept analysis with positive and negative attributes: validity and properties of models

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