Personnel selection based on fuzzy methods

 

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Bibliografski detalji
Autori: Canós, Lourdes, Casasús, Trinidad, Crespo, Enric, Lara, Tomás, Pérez, Juan C.
Format: artículo original
Status:Versión publicada
Datum izdanja:2011
Opis:The decisions of managers regarding the selection of staff strongly determine the success of the company. A correct choice of employees is a source of competitive advantage. We propose a fuzzy method for staff selection, based on competence management and the comparison with the valuation that the company considers the best in each competence (ideal candidate). Our method is based on the Hamming distance and a Matching Level Index. The algorithms, implemented in the software StaffDesigner, allow us to rank the candidates, even when the competences of the ideal candidate have been evaluated only in part. Our approach is applied in a numerical example.
Zemlja:Portal de Revistas UCR
Institucija:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Jezik:Español
OAI Identifier:oai:portal.ucr.ac.cr:article/2122
Online pristup:https://revistas.ucr.ac.cr/index.php/matematica/article/view/2122
Ključna riječ:fuzzy sets
personnel selection
management competences
conjuntos borrosos
conjuntos difusos
selección de personal
gestión de competencias