Applying data driven decision making to rank vocational and educational training programs with TOPSIS
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Applying data driven decision making to rank vocational and educational training programs with TOPSIS

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Applying data driven decision making to rank vocational and educational training programs with TOPSIS

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dc.contributor.author Conejero, José María
dc.contributor.author Preciado Rodríguez, Juan Carlos
dc.contributor.author Prieto Ramos, Álvaro
dc.contributor.author Bas Cerdà, María del Carmen
dc.contributor.author Bolós Lacave, Vicente
dc.date.accessioned 2022-06-15T15:00:37Z
dc.date.available 2022-06-15T15:00:37Z
dc.date.issued 2021
dc.identifier.uri https://hdl.handle.net/10550/83158
dc.description.abstract In this paper we present a multi-criteria classification of Vocational and Educational Programs in Extremadura (Spain) during the period 2009-2016. This ranking has been carried out through the integration into a complete database of the detailed information of individuals finishing such studies together with their labor data. The multicriteria method used is TOPSIS together with a new decision support method for assessing the influence of each criterion and its dependence on the weights assigned to them. This new method is based on a worst-best case scenario analysis and it is compared to a well known global sensitivity analysis technique based on the Pearson's correlation ratio.
dc.language.iso eng
dc.relation.ispartof Decision Support Systems, 2021, vol. 142, p. 113470
dc.rights.uri info:eu-repo/semantics/openAccess
dc.source Conejero, José María Preciado Rodríguez, Juan Carlos Prieto Ramos, Álvaro Bas Cerdà, María del Carmen Bolós Lacave, Vicente 2021 Applying data driven decision making to rank vocational and educational training programs with TOPSIS Decision Support Systems 142 113470
dc.subject Integració d'aplicacions empresarials (Sistemes informàtics)
dc.subject Matemàtica financera
dc.subject Ensenyament Innovacions
dc.title Applying data driven decision making to rank vocational and educational training programs with TOPSIS
dc.type info:eu-repo/semantics/article
dc.date.updated 2022-06-15T15:00:37Z
dc.identifier.doi https://doi.org/10.1016/j.dss.2020.113470
dc.identifier.idgrec 143650

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