Generalized quantifiers in formal concept analysis

Usually, datasets contain imprecise data (noise), which can produce unsuspected results on the considered mappings. For instance, this can happen with the infimum and supremum operators, since both operators are straightforwardly associated with the universal and existencial quantifiers, respectively. An interesting possibility, of decreasing the impact of this possible noise in the final results, is the consideration of generalized quantifiers.