Generalizing rough set theory through dominance-based rough set approach

Salvatore Greco, B. Matarazzo, R. Slowinski

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review


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.
Original languageEnglish
Title of host publicationRough sets, fuzzy sets, data mining, and granular computing: proceedings of the 10th international conference. Vol. 2
EditorsD. Slezak, J. Yao, J. Peters, W. Ziarko, X. Hu
Place of PublicationBerlin
Number of pages11
ISBN (Print)9783540286608
Publication statusPublished - Sep 2005

Publication series

NameLecture notes in computer science
ISSN (Print)0302-9743


Dive into the research topics of 'Generalizing rough set theory through dominance-based rough set approach'. Together they form a unique fingerprint.

Cite this