Dominance-based Rough Set Approach (DRSA) has been proposed to deal with multi-criteria classification problems, where data may be inconsistent with respect ...

Using the rough set approach to the analysis of preference information, we obtain the lower and the upper (rough) approximations of unions of decision classes.

Dominance-based Rough Set Approach (DRSA) has been proposed to deal with multi-criteria classification problems, where data may be inconsistent with respect ...

The presented methodology preserves well-known properties of rough approximations, such as rough inclusion, complementarity, identity of boundaries and ...

Abstract. Dominance-based Rough Set Approach (DRSA) has been proposed to deal with multi-criteria classification problems, where data.

Dominance-based Rough Set Approach (DRSA) has been proposed to deal with multi-criteria classification problems, where data may be inconsistent with respect ...

In this paper, we consider different measures of the quality of approximation, which is the value indicating how much inconsistent the decision table is. We ...

Dive into the research topics of 'Quality of rough approximation in multi-criteria classification problems'. Together they form a unique fingerprint. Sort by ...

In rough set theory, quality of approximation measures how much inconsistent the decision table is. In the simplest case, this is a ratio of consistent objects ...

In this paper, we consider different measures of the quality of approximation, which is the value indicating how much inconsistent the decision table is. We ...