Ranking Rough Sets in Pawlak Approximation Spaces
Zoltán Ernő Csajbók, Jozsef Kodmon
DOI: http://dx.doi.org/10.15439/2018F160
Citation: Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 15, pages 35–38 (2018)
Abstract. By the cardinality of finite sets, interval numbers can be assigned to rough sets which are represented by nested sets. Borrowing two different comparison methods from Multiple Attribute Decision Making analysis, rough sets are compared and ranked on the model of interval numbers. Some special cases are investigated. Illustrative examples are presented relying on both methods. The calculated results are compared and interpreted.
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