Evaluating student-internship fit by using fuzzy linguistic terms and a fuzzy OWA operator
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
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 mplementation of the proposed method is illustrated using a numerical example in a business application.
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CitationJennifer, N., Sánchez, G., Armisen, A., Agell, N., Angulo, C. Evaluating student-internship fit by using fuzzy linguistic terms and a fuzzy OWA operator. A: IEEE International Conference on Fuzzy Systems. "Proceedings of the Fuzzy Systems (FUZZ-IEEE), 2017 IEEE International Conference on". Nàpols: Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 1-5.