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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

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.citation	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.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.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	journal article	es_ES
dc.date.updated	2022-06-15T15:00:37Z
dc.identifier.doi	10.1016/j.dss.2020.113470
dc.identifier.idgrec	143650
dc.rights.accessRights	open access	es_ES