A computational procedure for variable selection preserving different initial conditions
María José Benítez-Caballero, Jesús Medina, Eloísa Ramírez‐Poussa, Dominik Ślȩzak · International Journal of Computer Mathematics · 2019
The reduction of the set of attributes is an important preliminary challenge in order to obtain information from knowledge systems. Two remarkable formal tools for extracting such information are rough set theory (RST) and formal concept analysis (FCA). This work introduces a new method to reduce attributes in FCA considering the reduction philosophy given in RST. This method allows to carry out a deeper study of the relation between these two theories. Furthermore, several interesting properties of such a reduction have been proved and examples have been introduced to illustrate the mechanism.