On the classification of fuzzy-attributes in multi-adjoint concept lattices

Abstract

In formal concept analysis, attribute reduction is an important preprocessing in order to obtain concept lattices, which provides fundamental information of the attributes, as well. This importance is increased in the fuzzy case. This paper presents, in the general fuzzy framework of multi-adjoint concept lattices, a classification of the fuzzy-attributes of a context, which provides interesting properties of the attributes and its application to reduce the computational complexity for building this kind of concept lattices. © 2013 Springer-Verlag Berlin Heidelberg.