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.

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Nguyen, Jennifer; Sánchez Hernández, German; Armisen Morell, Albert; Agell Jané, Núria; Rovira Llobera, Xari; Angulo Bahón, Cecilio

A linguistic multi-criteria decision making system based on FOWA operators to support university career services

06/2018
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.
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A linguistic multi-criteria decision making system based on FOWA operators to support university career services
Nguyen, Jennifer; Sánchez Hernández, German; Armisen Morell, Albert; Agell Jané, Núria; Rovira Llobera, Xari; Angulo Bahón, Cecilio
Applied Soft Computing
Nº 67, 06/2018, p. 933 - 940

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