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

Jennifer Nguyen, Germán Sánchez-Hernández, N. Agell, Albert Armisen, X. Rovira Llobera, Cecilio Angulo

Research output: Book chapterConference contributionpeer-review

1 Citation (Scopus)

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 implementation of the proposed method is illustrated using a numerical example in a business application.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509060344
DOIs
Publication statusPublished - 23 Aug 2017
Externally publishedYes
Event2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017 - Naples, Italy
Duration: 9 Jul 201712 Jul 2017

Publication series

NameIEEE International Conference on Fuzzy Systems
ISSN (Print)1098-7584

Conference

Conference2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017
Country/TerritoryItaly
CityNaples
Period9/07/1712/07/17

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