Inferring robust decision models in multicriteria classification problems: An experimental analysis - Audencia Access content directly
Journal Articles European Journal of Operational Research Year : 2014

Inferring robust decision models in multicriteria classification problems: An experimental analysis

Michael Doumpos
  • Function : Author
  • PersonId : 954081
Constantin Zopounidis
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  • PersonId : 954161
Emilios C. C Galariotis
  • Function : Author
  • PersonId : 928645

Abstract

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.
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Dates and versions

hal-00961323 , version 1 (19-03-2014)

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Michael Doumpos, Constantin Zopounidis, Emilios C. C Galariotis. Inferring robust decision models in multicriteria classification problems: An experimental analysis. European Journal of Operational Research, 2014, 236 (2), pp.601-611. ⟨10.1016/j.ejor.2013.12.034⟩. ⟨hal-00961323⟩

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