A novel attribute reduction approach based on the object oriented concept lattice

Abstract

Attribute reduction is one basic issue in the analysis of information tables. In this paper, the approaches to attribute reduction in formal context based on the object oriented concept lattice are investigated. We first introduce the notions of context matrix and the operations of corresponding column vectors. Then present some judgment theorems for attribute reduction in formal contexts. Based on the judgment theorems, we propose an attribute reduction approach and show concrete reduction algorithm. © 2011 Springer-Verlag.