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

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Nguyen et al FINAL July 2017.pdf (433,3Kb)
 
10.1016/j.asoc.2017.06.052
 
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Nguyen, Jennifer
Sánchez Hernández, Germán
Armisen Morell, Albert
Agell Jané, Núria
Angulo Bahón, CecilioMés informacióMés informacióMés informació
Document typeArticle
Defense date2017-07-27
Rights accessOpen Access
Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
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.
CitationNguyen, J. [et al.]. A linguistic multi-criteria decision-aiding system to support university career services. "Applied soft computing", 27 Juliol 2017, vol. 67, p. 933-940. 
URIhttp://hdl.handle.net/2117/130635
DOI10.1016/j.asoc.2017.06.052
ISSN1568-4946
Publisher versionhttp://www.sciencedirect.com/science/article/pii/S1568494617303952?via%3Dihub
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