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

Research output: Indexed journal article Articlepeer-review

16 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)933-940
Number of pages8
JournalApplied Soft Computing Journal
Volume67
DOIs
Publication statusPublished - Jun 2018
Externally publishedYes

Keywords

  • Decision support systems
  • Fuzzy OWA operator
  • Hesitant fuzzy linguistic terms
  • Multi-criteria decision-aiding
  • Personnel selection problem

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