Personnel selection and human resource improvement are characteristically multiple-
attribute decision-making (MADM) problems. Previously developed MADM models have …

Attribute reduction is a fundamental problem in rough set theory and serves as an effective
data reduction technique. The minimal test cost attribute reduction problem poses a more …

In this paper, we consider classes of conventional decision tables closed relative to the
removal of attributes (columns) and changing decisions assigned to rows. For tables from an …

In the paper, an approach for decision rules construction is proposed. It is studied from the
point of view of the supervised machine learning task, ie, classification, and from the point of …

Through a combination of overlap functions (which have symmetry and continuity) and a
fuzzy β-covering fuzzy rough set (FCFRS), a new class of FCFRS models is established, and …

This paper studies the relations between rough set reducts and typical testors from the so-
called logical combinatorial approach to pattern recognition. Definitions, comments and …

We study problems of optimization of decision and inhibitory trees for decision tables with
many-valued decisions. As cost functions, we consider depth, average depth, number of …

Abstract DRSs (Decision Rule Systems) and DTs (Decision Trees) are well known as
classification tools, knowledge representation methods, and algorithms. Their clarity and …