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.
|Publication status||Published - 2013|
|Event||Twenty-Sixth International Florida Artificial Intelligence Research Society Conference - St. Pete Beach, Florida, United States|
Duration: 22 May 2013 → 24 May 2013
|Conference||Twenty-Sixth International Florida Artificial Intelligence Research Society Conference|
|City||St. Pete Beach, Florida|
|Period||22/05/13 → 24/05/13|