Evaluating student-internship fit by using fuzzy linguistic terms and a fuzzy OWA operator

Jennifer, Nguyen; Sánchez Hernández, Germán; Armisen Morell, Albert; Agell, Nuria; Angulo Bahón, Cecilio

doi:10.1109/FUZZ-IEEE.2017.8015646

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Jennifer, Nguyen

Sánchez Hernández, Germán

Armisen Morell, Albert

Agell, Nuria

Angulo Bahón, Cecilio

Document typeConference report

Defense date2017

PublisherInstitute of Electrical and Electronics Engineers (IEEE)

Rights accessOpen Access

Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain

Abstract

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.

URIhttp://hdl.handle.net/2117/107585

DOI10.1109/FUZZ-IEEE.2017.8015646

ISBN978-1-5090-6034-4

Publisher versionhttp://ieeexplore.ieee.org/document/8015646/

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