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Personnel selection based on fuzzy methods

 

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Bibliografiske detaljer
Autores: Canós, Lourdes, Casasús, Trinidad, Crespo, Enric, Lara, Tomás, Pérez, Juan C.
Format: artículo original
Status:Versión publicada
Fecha de Publicación:2011
Beskrivelse: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.
País:Portal de Revistas UCR
Institution:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Sprog:Español
OAI Identifier:oai:portal.ucr.ac.cr:article/2122
Online adgang:https://revistas.ucr.ac.cr/index.php/matematica/article/view/2122
Palabra clave:fuzzy sets
personnel selection
management competences
conjuntos borrosos
conjuntos difusos
selección de personal
gestión de competencias