dc.creatorVarela Izquierdo, Noel
dc.creatorGaitan, Mercedes
dc.creatorPineda Lezama, Omar Bonerge
dc.creatorLizardo Zelaya, Nelson Alberto
dc.creatorSilva, Jesus
dc.creatorMORENO GARCIA, ROBERTO
dc.creatorGomez Dorta, Rafael Luciano
dc.date2020-01-17T19:31:46Z
dc.date2020-01-17T19:31:46Z
dc.date2019
dc.date.accessioned2023-10-03T19:50:21Z
dc.date.available2023-10-03T19:50:21Z
dc.identifierhttp://hdl.handle.net/11323/5861
dc.identifierCorporación Universidad de la Costa
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9172525
dc.descriptionEvery day organizations pay more attention to Human Resources Management, because the human factor is preponderant in the results of it. One of the important policies is the Selection of Personnel, these are needed for their decision-making results, which in many organizations is done in a subjective manner and which brings consequences not very favorable to them. Taking this problem into account, it is decided to design and apply procedures and tools of fuzzy mathematics to reduce subjectivity and uncertainty in decision-making, creating work algorithms for this policy that includes multifactorial weights and analysis with measurement indicators that they allow tangible and reliable results. In this case of personnel selection, eight candidates were taken into account and by applying a diffuse evaluation system, the candidate with the highest rating of 98% was chosen. This indicates that subjectivity was reduced when choosing the best evaluated candidate.
dc.formatapplication/pdf
dc.languageeng
dc.publisherUniversidad de la Costa
dc.rightshttp://creativecommons.org/publicdomain/zero/1.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subjectPersonnel selection
dc.subjectFuzzy mathematics
dc.subjectDiffuse evaluation system
dc.titleModeling and simulating for the treatment of subjectivity in the process of choosing personnel using fuzzy logic
dc.typePre-Publicación
dc.typehttp://purl.org/coar/resource_type/c_816b
dc.typeText
dc.typeinfo:eu-repo/semantics/preprint
dc.typeinfo:eu-repo/semantics/draft
dc.typehttp://purl.org/redcol/resource_type/ARTOTR
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.typehttp://purl.org/coar/version/c_ab4af688f83e57aa


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