%0 Journal Article 
%A Antoni, Lubomir
%A Cornejo Piñero, María Eugenia
%A Medina Moreno, Jesús
%A Ramírez Poussa, Eloísa
%T Attribute Classification and Reduct Computation in Multi-Adjoint Concept Lattices
%D 2021
%@ 1063-6706
%U http://hdl.handle.net/10498/30939
%X The problem of reducing information in databases is an important topic in formal concept analysis, which has been studied in several articles. In this article, we consider the fuzzy en- vironment of the multi-adjoint concept lattices, since it is a general fuzzy framework that allows us to easily establish degrees of pref- erence on the elements of the considered database. We introduce algorithms to discover the information contained in the relational system. By means of these algorithms, we classify the attributes of a multi-adjoint context, and build a minimal subset of attributes preserving the information of the original knowledge system.
%K Concept lattice reduction
%K formal concept analysis
%K fuzzy sets
%~ Universidad de Cádiz