dc.creatorDe Farias Aires, Renan Felinto
dc.creatorFerreira, Luciano
dc.creatorDe Araújo, Afranio Galdino
dc.creatorBorenstein, Denis
dc.date.accessioned2019-07-30T20:47:06Z
dc.date.accessioned2022-10-20T22:51:15Z
dc.date.available2019-07-30T20:47:06Z
dc.date.available2022-10-20T22:51:15Z
dc.date.created2019-07-30T20:47:06Z
dc.date.issued2018
dc.identifier1476-9360
dc.identifierhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85026515251&origin=inward
dc.identifier10.1057/s41274-017-0242-3
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4613265
dc.description.abstractStudent selection is a complex decision-making process, in which several criteria need to be considered simultaneously. In this paper, we address this problem for a Brazilian university that has created an interdisciplinary degree in which several intermediate selection processes are required during the course, defining the final title degree. The university is currently using an aggregated score based on the performance of a student in the course. However, this method is facing difficulties in selecting the best students, because deficiencies in the way transferred, dropped and quit course credits are accounted for. As a possible alternative for the current method, we developed a hybrid ranking algorithm, called ELECTRE–TOPSIS (E–T). This method combines elements of the ELECTRE family and TOPSIS, two well-known multi-attribute analysis tools, to rank students based on objective criteria. Computational experiments and a case study were conducted to evaluate E–T. The results show that our approach provides quite competitive rankings in comparison with similar methods, through simultaneously eliminating ranking reversal and better balancing the formation time and the academic performance of the evaluated students.
dc.languagees_ES
dc.sourceJournal of the Operational Research Society
dc.subjectDecision analysis
dc.subjectEducation
dc.subjectELECTRE
dc.subjectpractice of OR
dc.subjectTOPSIS
dc.titleStudent selection in a Brazilian university: using a multi-criteria method
dc.typeARTÍCULO


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