Characterizing reducts in multi-adjoint concept lattices
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Publication:781020
DOI10.1016/j.ins.2017.08.099zbMath1436.68330OpenAlexW2751486353MaRDI QIDQ781020
Maria Eugenia Cornejo, Eloísa Ramírez-Poussa, Jesús Medina
Publication date: 16 July 2020
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2017.08.099
Related Items (20)
Systematic categorization and evaluation of CbO-based algorithms in FCA ⋮ Algebraic structure and characterization of adjoint triples ⋮ Heterogeneous formal context and its decomposition by heterogeneous fuzzy subsets ⋮ Approximating fuzzy relation equations through concept lattices ⋮ Rough-set-driven approach for attribute reduction in fuzzy formal concept analysis ⋮ Characterization of the infimum of classes induced by an attribute reduction in FCA ⋮ Linguistic descriptions of data via fuzzy formal concept analysis ⋮ A comparative study of decision implication, concept rule and granular rule ⋮ Rough sets based on Galois connections ⋮ Unnamed Item ⋮ Implication operators generating pairs of weak negations and their algebraic structure ⋮ Multi-adjoint concept lattices via quantaloid-enriched categories ⋮ Algebraic structure of fuzzy signatures ⋮ Reducing concept lattices by means of a weaker notion of congruence ⋮ Describing hierarchy of concept lattice by using matrix ⋮ Impact of local congruences in variable selection from datasets ⋮ Generalized quantifiers in formal concept analysis ⋮ A weakened notion of congruence to reduce concept lattices ⋮ Knowledge implications in multi-adjoint concept lattices ⋮ A computational procedure for variable selection preserving different initial conditions
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