o:29398 Multiple criteria decision aiding as a prediction tool for migration potential of regions en a b s t r a c t This study presents the potential of multiple criteria decision aiding (MCDA) as a tool for prediction analysis. We apply MCDA methodology for the determination of internal migration potential of regions within a country. The ELECTRE Tri-C together with the Multiple Criteria Hierarchy Process (MCHP), the imprecise SRF method and the Stochastic Multicriteria Acceptability Analysis (SMAA) will be applied to investigate the case of the internal migrations in Serbia. We shall give recommendations regarding the migration potential of Serbian municipalities in the following years. In particular, the ELECTRE Tri-C will be applied to classify the regions in four classes ordered with respect to regions’ migration potential, MCHP will be used to take into account the hierarchical structure of criteria on which the municipalities are evaluated. Finally, the imprecise SRF method, as well as the SMAA methodology, will be used to take into account the preferences of numerous economic agents. Keywords: Multiple criteria decision aiding, Internal migration, ELECTRE Tri-C, Multiple Criteria Hierarchy Process, Robustness concerns 1552099 10.1016/j.ejor.2020.01.046 1552101 0377-2217 2023-05-12T12:38:15.950Z 44 no 46 Mihail Arandarenko Univerzitet u Beogradu Ekonomski fakultet 12616807 0000-0002-9608-2164 Salvatore Corrente person Maja Jandrić Univerzitet u Beogradu Ekonomski fakultet person 12921447 0000-0002-7817-919X Mladen Stamenković Univerzitet u Beogradu Ekonomski fakultet person 13835623 0000-0002-3838-878X application/pdf 667502 https://phaidrabg.bg.ac.rs/o:29398 no yes 1 70 92000001 11A03 European Journal of Operational Research 284 3 1154 1166 2020