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

Michael Doumpos, Constantin Zopounidis and Emilios Galariotis

European Journal of Operational Research, 2014, vol. 236, issue 2, 601-611

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.

Keywords: Multiple criteria analysis; Robustness; Disaggregation analysis; Monte Carlo simulation (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (20)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:236:y:2014:i:2:p:601-611

DOI: 10.1016/j.ejor.2013.12.034

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