
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/">
  <dc:identifier>https://phaidrabg.bg.ac.rs/o:29398</dc:identifier>
  <dc:identifier>doi:10.1016/j.ejor.2020.01.046</dc:identifier>
  <dc:identifier>ISSN: 0377-2217</dc:identifier>
  <dc:creator id="https://orcid.org/0000-0002-9608-2164 https://plus.cobiss.net/cobiss/sr/sr/conor/12616807">Arandarenko, Mihail</dc:creator>
  <dc:creator>Corrente, Salvatore</dc:creator>
  <dc:creator id="https://orcid.org/0000-0002-7817-919X https://plus.cobiss.net/cobiss/sr/sr/conor/12921447">Jandrić, Maja</dc:creator>
  <dc:creator id="https://orcid.org/0000-0002-3838-878X https://plus.cobiss.net/cobiss/sr/sr/conor/13835623">Stamenković, Mladen</dc:creator>
  <dc:source>European Journal of Operational Research 284(3)</dc:source>
  <dc:format>application/pdf</dc:format>
  <dc:format>667502 bytes</dc:format>
  <dc:language>eng</dc:language>
  <dc:date>2020</dc:date>
  <dc:title xml:lang="eng">Multiple criteria decision aiding as a prediction tool for migration potential of regions</dc:title>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:subject xml:lang="eng">Keywords: Multiple criteria decision aiding, Internal migration, ELECTRE Tri-C, Multiple Criteria Hierarchy Process, Robustness concerns</dc:subject>
  <dc:rights>All rights reserved</dc:rights>
  <dc:description xml:lang="eng">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.</dc:description>
</oai_dc:dc>
