Reducing imprecision in a human resource database through rough set theory

This study deals with decision-making using replicated and inconsistent data, relating to the universe of Human Resources, within a domestic/local financial institution. Replication occurs because of technical and/or economic questions, and seeks to meet the corporate and departmental requirements o...

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Detalles Bibliográficos
Autores principales: Gaia do Couto, Ayrton Benedito, Autran Monteiro Gomes, Luis Flavio
Formato: Artículo revista
Lenguaje:Inglés
Publicado: Escuela de Perfeccionamiento en Investigación Operativa 2018
Materias:
apoyo multicriterio a la decisión
toma de decisión
inconsistencia
teoría de los conjuntos aproximativos
muticriteria decision aiding
decision-making
inconsistency
rough set theory
Acceso en línea:https://revistas.unc.edu.ar/index.php/epio/article/view/20341
Aporte de:
Revista de la Escuela de Perfeccionamiento en Investigación Operativa de Universidad Nacional de Córdoba
id I10-R359-article-20341
record_format ojs
spelling I10-R359-article-203412018-06-18T15:15:55Z Reducing imprecision in a human resource database through rough set theory Gaia do Couto, Ayrton Benedito Autran Monteiro Gomes, Luis Flavio apoyo multicriterio a la decisión toma de decisión inconsistencia teoría de los conjuntos aproximativos muticriteria decision aiding decision-making inconsistency rough set theory This study deals with decision-making using replicated and inconsistent data, relating to the universe of Human Resources, within a domestic/local financial institution. Replication occurs because of technical and/or economic questions, and seeks to meet the corporate and departmental requirements of such an institution. As research methodology, direct observation of such inconsistencies was used as well as a simulation based on actual data which would reflect replication with inconsistencies. Application of a multi-criteria method became necessary in view of the need to render the decision-making process rational, and was transformed into an element that stimulated this study. The method used was Rough Set Theory (RST), inasmuch as there existed no other information on the occurrence of such inconsistencies. An algorithm was developed to indicate the major data sources and was subsequently implemented into a software to facilitate research of such sources. Este estudio aborda la toma de decisión con datos reproducidos e inconsistentes dentro del ámbito Recursos Humanos, en una importante institución financiera y social brasileña. La reproducción proviene de cuestiones técnicas o económicas, buscando la adecuación a las exigencias corporativas y departamentales de esa institución. Como metodología, optamos por la observación directa de las inconsistencias y el simulacro, basándonos en datos reales reflejando la reproducción con inconsistencias.Fue necesario el uso de un método analítico de multicriterio, para convertir en realidad y hacer más racional ese proceso de toma de decisión. Se usó la Teoría de los Conjuntos Aproximativos, porque no quedaba disponible ninguna información sobre la ocurrencia de inconsistencias. Para eso, desarrollamos un algoritmo que indicase las principales fuentes de datos reproducidos e inconsistentes. Ese algoritmo fue subsecuentemente implementado con un software usado para facilitar la investigación sobre aquellas fuentes de datos. Escuela de Perfeccionamiento en Investigación Operativa 2018-06-18 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.unc.edu.ar/index.php/epio/article/view/20341 Revista de la Escuela de Perfeccionamiento en Investigación Operativa; Vol. 20 Núm. 33 (2012): Octubre; 39-57 1853-9777 0329-7322 eng https://revistas.unc.edu.ar/index.php/epio/article/view/20341/19974
institution Universidad Nacional de Córdoba
institution_str I-10
repository_str R-359
container_title_str Revista de la Escuela de Perfeccionamiento en Investigación Operativa
language Inglés
format Artículo revista
topic apoyo multicriterio a la decisión
toma de decisión
inconsistencia
teoría de los conjuntos aproximativos
muticriteria decision aiding
decision-making
inconsistency
rough set theory
spellingShingle apoyo multicriterio a la decisión
toma de decisión
inconsistencia
teoría de los conjuntos aproximativos
muticriteria decision aiding
decision-making
inconsistency
rough set theory
Gaia do Couto, Ayrton Benedito
Autran Monteiro Gomes, Luis Flavio
Reducing imprecision in a human resource database through rough set theory
topic_facet apoyo multicriterio a la decisión
toma de decisión
inconsistencia
teoría de los conjuntos aproximativos
muticriteria decision aiding
decision-making
inconsistency
rough set theory
author Gaia do Couto, Ayrton Benedito
Autran Monteiro Gomes, Luis Flavio
author_facet Gaia do Couto, Ayrton Benedito
Autran Monteiro Gomes, Luis Flavio
author_sort Gaia do Couto, Ayrton Benedito
title Reducing imprecision in a human resource database through rough set theory
title_short Reducing imprecision in a human resource database through rough set theory
title_full Reducing imprecision in a human resource database through rough set theory
title_fullStr Reducing imprecision in a human resource database through rough set theory
title_full_unstemmed Reducing imprecision in a human resource database through rough set theory
title_sort reducing imprecision in a human resource database through rough set theory
description This study deals with decision-making using replicated and inconsistent data, relating to the universe of Human Resources, within a domestic/local financial institution. Replication occurs because of technical and/or economic questions, and seeks to meet the corporate and departmental requirements of such an institution. As research methodology, direct observation of such inconsistencies was used as well as a simulation based on actual data which would reflect replication with inconsistencies. Application of a multi-criteria method became necessary in view of the need to render the decision-making process rational, and was transformed into an element that stimulated this study. The method used was Rough Set Theory (RST), inasmuch as there existed no other information on the occurrence of such inconsistencies. An algorithm was developed to indicate the major data sources and was subsequently implemented into a software to facilitate research of such sources.
publisher Escuela de Perfeccionamiento en Investigación Operativa
publishDate 2018
url https://revistas.unc.edu.ar/index.php/epio/article/view/20341
work_keys_str_mv AT gaiadocoutoayrtonbenedito reducingimprecisioninahumanresourcedatabasethroughroughsettheory
AT autranmonteirogomesluisflavio reducingimprecisioninahumanresourcedatabasethroughroughsettheory
first_indexed 2024-09-03T22:23:16Z
last_indexed 2024-09-03T22:23:16Z
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