Decision Tables Aggregation in Rough Sets Approximation

The Dominance-based Rough Set Approach (DRSA) is an extension of Rough Sets Theory to handle multicriteria classification problems by authorizing preference-ordered attributes. The DRSA assumes the existence of a single decision table while real-world decision problems imply generally several experts with different decision tables. The objective of this paper is to propose an algorithm for the aggregation of a set of decision tables, as a first step for approximating these tables. The algorithm is illustrated using real-world data.