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Please use this identifier to cite or link to this item: http://dspace.ucuenca.edu.ec/handle/123456789/33155
Title: Student selection in a Brazilian university: Using a multi-criteria method
Authors: Aires, Renan Felinto de farias
Ferreira, Luciano
De araújo, Afranio Galdino
Borenstein, Denis
metadata.dc.ucuenca.correspondencia: Ferreira, Luciano, ferreira@ufrnet.br
Keywords: Decision Analysis
Education
Electre
Practice Of Or
Topsis
metadata.dc.ucuenca.areaconocimientofrascatiamplio: 5. Ciencias Sociales
metadata.dc.ucuenca.areaconocimientofrascatidetallado: 5.4.1 Sociología
metadata.dc.ucuenca.areaconocimientofrascatiespecifico: 5.4 Sociología
metadata.dc.ucuenca.areaconocimientounescoamplio: 01 - Educación
metadata.dc.ucuenca.areaconocimientounescodetallado: 0111 - Ciencias de la Educación
metadata.dc.ucuenca.areaconocimientounescoespecifico: 011 - Eduación
Issue Date: 2018
metadata.dc.ucuenca.embargoend: 31-Dec-2050
metadata.dc.ucuenca.volumen: volumen 69
metadata.dc.source: Journal of the Operational Research Society
metadata.dc.identifier.doi: 10.1057/s41274-017-0242-3
metadata.dc.type: ARTÍCULO
Abstract: 
Student 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.
Description: 
Student 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.
URI: http://dspace.ucuenca.edu.ec/handle/123456789/33155
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85026515251&origin=inward
metadata.dc.ucuenca.urifuente: http://www.palgrave-journals.com/jors/
ISSN: 14769360
Appears in Collections:Artículos

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