Preferences in discrete multi-adjoint formal concept analysis

Abstract

Multi-adjoint concept lattice theory is a general fuzzy approach of formal concept analysis, which has diverse interesting properties. One of them is that it is possible to provide different degrees of preference among the set of objects/attributes. This paper studies a family of implications, based on the divisible discrete t-norms and in the Miller’s law, which can be associated with a qualitative range of preference degrees to be considered in the applications by non-expert users of the FCA framework.