Inferring robust decision models in multicriteria classification problems: an experimental analysis
- Δουμπος Μιχαλης(http://users.isc.tuc.gr/~mdoubos)
- Michael Doumpos(http://users.isc.tuc.gr/~mdoubos)
- Ζοπουνιδης Κωνσταντινος(http://users.isc.tuc.gr/~kzopounidis)
- Zopounidis Konstantinos(http://users.isc.tuc.gr/~kzopounidis)
- Galariotis, Emilios(http://viaf.org/viaf/314897416)
DOI Publisher
Elsevier BVAbstract
Summarization: Recent research on robust decision aiding has focused on identifying a range of recommendations from preferential information and the selection of representative models compatible with preferential constraints. This study presents an experimental analysis on the relationship between the results of a single decision model (additive value function) and the ones from the full set of compatible models in classification problems. Different optimization formulations for selecting a representative model are tested on artificially generated data sets with varying characteristics.Presented on: European Journal of Operational Researc
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