Evaluating student-internship fit by using fuzzy linguistic terms and a fuzzy OWA operator
Tipo de documentoTexto en actas de congreso
Fecha de publicación2017
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condiciones de accesoAcceso abierto
Personnel selection is a well-known problem that is made difficult by incomplete and imprecise information about candidate and position compatibility. This paper shows how positions, which satisfy candidate’s interests, can be identified with fuzzy linguistic terms and a fuzzy OWA operator. A set of relevant positions aligned with a student’s interests is selected using this approach. The mplementation of the proposed method is illustrated using a numerical example in a business application.
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CitaciónJennifer, N., Sánchez, G., Armisen, A., Agell, N., Angulo, C. Evaluating student-internship fit by using fuzzy linguistic terms and a fuzzy OWA operator. A: IEEE International Conference on Fuzzy Systems. "Proceedings of the Fuzzy Systems (FUZZ-IEEE), 2017 IEEE International Conference on". Nàpols: Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 1-5.
Versión del editorhttp://ieeexplore.ieee.org/document/8015646/