Ordinal properties of data related to preferences have been taken into account in the Dominance-based Rough Set Approach (DRSA). We show that DRSA is also relevant in case where preferences are not considered but a kind of monotonicity relating attribute values is meaningful for the analysis of data at hand. In general terms, monotonicity concerns relationship between different aspects of a phenomenon described by data: for example, "the larger the house, the higher its price" or "the closer the house to the city centre, the higher its price". In this perspective, the DRSA gives a very general framework in which the classical rough set approach based on indiscernibility relation can be considered as a special case.
|Title of host publication||Rough sets, fuzzy sets, data mining, and granular computing: proceedings of the 10th international conference. Vol. 2|
|Editors||D. Slezak, J. Yao, J. Peters, W. Ziarko, X. Hu|
|Place of Publication||Berlin|
|Number of pages||11|
|Publication status||Published - Sep 2005|
|Name||Lecture notes in computer science|