Evaluating student-internship fit using fuzzy linguistic terms and a fuzzy OWA operator

Jennifer Nguyen, Germán Sánchez-Hernández, N. Agell, Albert Armisen, X. Rovira Llobera, Cecilio Angulo

Producción científica: Capítulo del libroContribución a congreso/conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

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 implementation of the proposed method is illustrated using a numerical example in a business application.

Idioma originalInglés
Título de la publicación alojada2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781509060344
DOI
EstadoPublicada - 23 ago 2017
Publicado de forma externa
Evento2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017 - Naples, Italia
Duración: 9 jul 201712 jul 2017

Serie de la publicación

NombreIEEE International Conference on Fuzzy Systems
ISSN (versión impresa)1098-7584

Conferencia

Conferencia2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017
País/TerritorioItalia
CiudadNaples
Período9/07/1712/07/17

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