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

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

1 Citació (Scopus)

Resum

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 originalAnglès
Títol de la publicació2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017
EditorInstitute of Electrical and Electronics Engineers Inc.
ISBN (electrònic)9781509060344
DOIs
Estat de la publicacióPublicada - 23 d’ag. 2017
Publicat externament
Esdeveniment2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017 - Naples, Italy
Durada: 9 de jul. 201712 de jul. 2017

Sèrie de publicacions

NomIEEE International Conference on Fuzzy Systems
ISSN (imprès)1098-7584

Conferència

Conferència2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017
País/TerritoriItaly
CiutatNaples
Període9/07/1712/07/17

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