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

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.

Año de publicación:

2017

Keywords:

Fuente:

scopus