2005

referat

angielski

EN 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.

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10.1007/11548706_1

https://link.springer.com/chapter/10.1007/11548706_1

Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 3, 2005, Proceedings, Part II

10th International Conference Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, 31.08.2005 - 03.09.2005, Regina, Canada