Discovering knowledge from fuzzy concept lattice
Data mining and computational intelligence
Journal of Systems and Software - Special issue on artificial and computational intelligence for decisions, control, and automation in engineering and industrial applications
Formal concept analysis via multi-adjoint concept lattices
Fuzzy Sets and Systems
Multi-adjoint t-concept lattices
Information Sciences: an International Journal
On multi-adjoint concept lattices: definition and representation theorem
ICFCA'07 Proceedings of the 5th international conference on Formal concept analysis
What is a fuzzy concept lattice? II
RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
Note on generating fuzzy concept lattices via Galois connections
Information Sciences: an International Journal
Multi-adjoint property-oriented and object-oriented concept lattices
Information Sciences: an International Journal
On possible generalization of fuzzy concept lattices using dually isomorphic retracts
Information Sciences: an International Journal
On multi-adjoint concept lattices based on heterogeneous conjunctors
Fuzzy Sets and Systems
Concept lattices and similarity in non-commutative fuzzy logic
Fundamenta Informaticae
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The methods of conceptual scaling and generalized one-sided concept lattices represent different possibilities on how to deal with many-valued contexts. We briefly describe these methods and prove that they are equivalent. In particular, we show that the application of these two approaches to a given many-valued context yields the same closure system on the set of all objects. Based on this equivalence, we propose a possible attribute reduction of one-sided formal contexts.