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Conference papers

Learning MR-Sort Rules with coalitional veto

Abstract : MR-Sort (Majority Rule Sorting) is a multiple criteria sorting method which assigns an alternative a to category C_h when a is better than the lower limit of C h on a majority of criteria, and this is not true with the upper limit of C h. We enrich the descriptive ability of MR-Sort by the addition of coalitional vetoes which operate in a symmetric way as compared to the MR-Sort rule w.r.t. to category limits , using specific veto profiles and veto weights. We describe a heuristic algorithm to learn such an MR-Sort model enriched with coalitional veto from a set of assignment examples, and show how it performs on real datasets.
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Contributor : Vincent Mousseau Connect in order to contact the contributor
Submitted on : Sunday, January 22, 2017 - 12:50:26 PM
Last modification on : Saturday, May 8, 2021 - 3:40:27 AM
Long-term archiving on: : Sunday, April 23, 2017 - 12:25:13 PM


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  • HAL Id : hal-01443088, version 1


Olivier Sobrie, Vincent Mousseau, Marc Pirlot. Learning MR-Sort Rules with coalitional veto. DA2PL 2016, Eyke Hüllermeier, Nov 2016, Paderborn, Germany. ⟨hal-01443088⟩



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