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A New Rough Set Approach to Multicriteria and Multiattribute Classification

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Rough Sets and Current Trends in Computing (RSCTC 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1424))

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Abstract

As pointed out by Greco, Matarazzo and Slowinski [1] the original rough set approach does not consider criteria, i.e. attributes with ordered domains. However, in many real problems the ordering properties of the considered attributes may play an important role. E.g. in a bankruptcy evaluation problem, if firm A has a low value of the debt ratio (Total debt/Total assets) and firm B has a large value of the same ratio, within the original rough set approach the two firms are just discernible, but no preference is established between them two with respect to the attribute “debt ratio”. Instead, from a decisional point of view, it would be better to consider firm A as preferred to firm B, and not simply “discernible”, with respect to the attribute in question.

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References

  1. Greco S., Matarazzo, B., Slowinski, R.: Rough approximation of a preference relation by dominance relations, ICS Research Report 16, Warsaw University of Technology, Warsaw, (1996) and to be published on European Journal of Operational Research.

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© 1998 Springer-Verlag Berlin Heidelberg

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Greco, S., Matarazzo, B., Slowinski, R. (1998). A New Rough Set Approach to Multicriteria and Multiattribute Classification. In: Polkowski, L., Skowron, A. (eds) Rough Sets and Current Trends in Computing. RSCTC 1998. Lecture Notes in Computer Science(), vol 1424. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-69115-4_9

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  • DOI: https://doi.org/10.1007/3-540-69115-4_9

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  • Print ISBN: 978-3-540-64655-6

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