A linguistic multi-criteria decision-aiding system to support university career services

J. Nguyen, G. Sánchez-Hernández, A. Armisen, N. Agell, X. Rovira, C. Angulo

Producció científica: Article en revista indexadaArticleAvaluat per experts

15 Cites (Scopus)


In this paper we introduce a linguistic multi-criteria decision-aiding model to support college students with the internship job market application. It considers a fuzzy ordered weighted averaging (FOWA) operator in the matching to capture the inherent uncertainty and vague nature of personnel selection processes. The decision model is integrated in a software tool able to capture data from university student resume and internship databases. The application assesses position characteristics implicitly by means of linguistic descriptions according to each student's preferences. The software tool is enabled with the ability to propose positions according to student preferences. The system selects a reduced list of alternatives from the set of job offers, helping students to decide on which positions to focus their applications.

Idioma originalAnglès
Pàgines (de-a)933-940
Nombre de pàgines8
RevistaApplied Soft Computing Journal
Estat de la publicacióPublicada - de juny 2018
Publicat externament


Navegar pels temes de recerca de 'A linguistic multi-criteria decision-aiding system to support university career services'. Junts formen un fingerprint únic.

Com citar-ho