OWA operators in human resource management

We develop a new approach that uses the ordered weighted averaging (OWA) operator in different methods for the selection of human resources. The objective of this new model is to manipulate the neutrality of the old methods, so the decision maker can select human resources according to his degree of...

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Detalles Bibliográficos
Autores: Merigó Lindahl, José M., Gil Lafuente, Anna Maria
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2011
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/126123
Acceso en línea:https://hdl.handle.net/2445/126123
Access Level:acceso abierto
Palabra clave:Recursos humans
Lògica borrosa
Presa de decisions
Human capital
Fuzzy logic
Decision making
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spelling OWA operators in human resource managementMerigó Lindahl, José M.Gil Lafuente, Anna MariaRecursos humansLògica borrosaPresa de decisionsHuman capitalFuzzy logicDecision makingWe develop a new approach that uses the ordered weighted averaging (OWA) operator in different methods for the selection of human resources. The objective of this new model is to manipulate the neutrality of the old methods, so the decision maker can select human resources according to his degree of optimism or pessimism. In order to develop this model, first, a short revision of the OWA operators is introduced. Next, we briefly explain the general model for the selection of human resources and suggest three new indexes for the selection of human resources that use the OWA operator and the hybrid average in the Hamming distance, in the adequacy coefficient and in the index of maximum and minimum level. The main advantage of this method is that it is more complete than the previous ones so the decision maker gets a better understanding of the decision problem. The work ends with an illustrative example that shows the results obtained by using different types of aggregation operators in the new approaches. .Academy of Economic Studies in Bucharest2011info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/126123Articles publicats en revistes (Empresa)reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésReproducció del document publicat a: http://www.ecocyb.ase.ro/22010-pdf/Jose%20Merigo.pdfEconomic Computation and Economic Cybernetics Studies and Research, 2011, vol. 45, num. 2, p. 153-168(c) Merigó Lindahl, José M. et al., 2011info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/1261232026-05-27T06:46:51Z
dc.title.none.fl_str_mv OWA operators in human resource management
title OWA operators in human resource management
spellingShingle OWA operators in human resource management
Merigó Lindahl, José M.
Recursos humans
Lògica borrosa
Presa de decisions
Human capital
Fuzzy logic
Decision making
title_short OWA operators in human resource management
title_full OWA operators in human resource management
title_fullStr OWA operators in human resource management
title_full_unstemmed OWA operators in human resource management
title_sort OWA operators in human resource management
dc.creator.none.fl_str_mv Merigó Lindahl, José M.
Gil Lafuente, Anna Maria
author Merigó Lindahl, José M.
author_facet Merigó Lindahl, José M.
Gil Lafuente, Anna Maria
author_role author
author2 Gil Lafuente, Anna Maria
author2_role author
dc.subject.none.fl_str_mv Recursos humans
Lògica borrosa
Presa de decisions
Human capital
Fuzzy logic
Decision making
topic Recursos humans
Lògica borrosa
Presa de decisions
Human capital
Fuzzy logic
Decision making
description We develop a new approach that uses the ordered weighted averaging (OWA) operator in different methods for the selection of human resources. The objective of this new model is to manipulate the neutrality of the old methods, so the decision maker can select human resources according to his degree of optimism or pessimism. In order to develop this model, first, a short revision of the OWA operators is introduced. Next, we briefly explain the general model for the selection of human resources and suggest three new indexes for the selection of human resources that use the OWA operator and the hybrid average in the Hamming distance, in the adequacy coefficient and in the index of maximum and minimum level. The main advantage of this method is that it is more complete than the previous ones so the decision maker gets a better understanding of the decision problem. The work ends with an illustrative example that shows the results obtained by using different types of aggregation operators in the new approaches. .
publishDate 2011
dc.date.none.fl_str_mv 2011
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/126123
url https://hdl.handle.net/2445/126123
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: http://www.ecocyb.ase.ro/22010-pdf/Jose%20Merigo.pdf
Economic Computation and Economic Cybernetics Studies and Research, 2011, vol. 45, num. 2, p. 153-168
dc.rights.none.fl_str_mv (c) Merigó Lindahl, José M. et al., 2011
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) Merigó Lindahl, José M. et al., 2011
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Academy of Economic Studies in Bucharest
publisher.none.fl_str_mv Academy of Economic Studies in Bucharest
dc.source.none.fl_str_mv Articles publicats en revistes (Empresa)
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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