Fuzzy logic applied to the performance evaluation. Honduran coffee sector case
Every day organizations pay more attention to Human Resources Management, because this human factor is preponderant in the results of it. An important policy is the Performance Evaluation (ED), since it allows the control and monitoring of management indicators, both individual and by process. To an...
- Autores:
-
Varela Izquierdo, Noel
Lezama Pineda, Omar Bonerge
Dorta Gómez, Rafael
Viloria, Amelec
Deras, Ivan
Hernández Fernández, Lissette
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2018
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/3325
- Acceso en línea:
- https://hdl.handle.net/11323/3325
https://repositorio.cuc.edu.co/
- Palabra clave:
- Fuzzy logic
Performance evaluatio
Lógica difusa
Evaluación de desempeño
- Rights
- openAccess
- License
- Attribution-NonCommercial-ShareAlike 4.0 International
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| dc.title.spa.fl_str_mv |
Fuzzy logic applied to the performance evaluation. Honduran coffee sector case |
| dc.title.translated.spa.fl_str_mv |
Lógica difusa aplicada a la evaluación de desempeño. caso del sector cafetalero Hondureño. |
| title |
Fuzzy logic applied to the performance evaluation. Honduran coffee sector case |
| spellingShingle |
Fuzzy logic applied to the performance evaluation. Honduran coffee sector case Fuzzy logic Performance evaluatio Lógica difusa Evaluación de desempeño |
| title_short |
Fuzzy logic applied to the performance evaluation. Honduran coffee sector case |
| title_full |
Fuzzy logic applied to the performance evaluation. Honduran coffee sector case |
| title_fullStr |
Fuzzy logic applied to the performance evaluation. Honduran coffee sector case |
| title_full_unstemmed |
Fuzzy logic applied to the performance evaluation. Honduran coffee sector case |
| title_sort |
Fuzzy logic applied to the performance evaluation. Honduran coffee sector case |
| dc.creator.fl_str_mv |
Varela Izquierdo, Noel Lezama Pineda, Omar Bonerge Dorta Gómez, Rafael Viloria, Amelec Deras, Ivan Hernández Fernández, Lissette |
| dc.contributor.author.spa.fl_str_mv |
Varela Izquierdo, Noel Lezama Pineda, Omar Bonerge Dorta Gómez, Rafael Viloria, Amelec Deras, Ivan Hernández Fernández, Lissette |
| dc.subject.spa.fl_str_mv |
Fuzzy logic Performance evaluatio Lógica difusa Evaluación de desempeño |
| topic |
Fuzzy logic Performance evaluatio Lógica difusa Evaluación de desempeño |
| description |
Every day organizations pay more attention to Human Resources Management, because this human factor is preponderant in the results of it. An important policy is the Performance Evaluation (ED), since it allows the control and monitoring of management indicators, both individual and by process. To analyze the results, decision making in many organizations is done in a subjective manner and in consequence it brings serious problems to them. Taking into account this problem, it is decided to design and apply diffuse mathematical procedures and tools to reduce subjectivity and uncertainty in decision-making, creating work algorithms for this policy, which includes multifactorial weights and analysis with measurement indicators that they allow tangible and reliable results. Statistical techniques (ANOVA) are also used to establish relationships between work groups and learn about best practices. |
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2018 |
| dc.date.issued.none.fl_str_mv |
2018-06-16 |
| dc.date.accessioned.none.fl_str_mv |
2019-05-14T13:26:08Z |
| dc.date.available.none.fl_str_mv |
2019-05-14T13:26:08Z |
| dc.type.spa.fl_str_mv |
Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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Text |
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info:eu-repo/semantics/article |
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http://purl.org/redcol/resource_type/ART |
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info:eu-repo/semantics/acceptedVersion |
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http://purl.org/coar/resource_type/c_6501 |
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acceptedVersion |
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978-331993817-2 |
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03029743 |
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https://hdl.handle.net/11323/3325 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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https://repositorio.cuc.edu.co/ |
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978-331993817-2 03029743 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.ispartof.spa.fl_str_mv |
DOI: 10.1007/978-3-319-93818-9_16 |
| dc.relation.references.spa.fl_str_mv |
Bernoulli, J.: Ars conjectandi (The art of conjecture). Impensis Thurnisiorum, Basel, Switzerland (1713) Papoulis, A., Pillai, S.: Probability, Random Variables, and Stochastic Processes. McGraw-Hill, New York (1965) Tizhoosh, R.: Opposition-based learning: a new scheme for machine intelligence. In: International Conference on Computational Intelligence for Modelling, Control and Automation, and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, Vienna, Austria, pp. 695–701 (2005) Xu, Q.Z., Wang, L., Wang, N., Hei, X.H., Zhao, L.: A review of opposition-based learning from 2005 to 2012. Eng. Appl. Artif. Intell. 29(1), 1–12 (2014) Rahnamayan, S., Tizhoosh, H.R., Salama, M.M.A.: Quasi-oppositional differential evolution. In: IEEE Congress on Evolutionary Computation, Singapore, pp. 2229–2236 (2007) Ergezer, M., Simon, D., Du, D.W.: Oppositional biogeography-based optimization. In: IEEE International Conference on Systems, Man and Cybernetics, San Antonio, USA, pp. 1009– 1014 (2009) Rahnamayan, S., Wang, G.G.: Center-based sampling for population-based algorithms. In: IEEE Congress on Evolutionary Computation, pp. 933–938. Trondheim, Norway (2009) Wang, H., Wu, Z.J., Liu, Y., Wang, J., Jiang, D.Z., Chen, L.L.: Space transformation search: a new evolutionary technique. In: ACM/SIGEVO Summit on Genetic and Evolutionary Computation, Shanghai, China, pp. 537–544 (2009) Xu, Q.Z., Wang, L., He, B.M., Wang, N.: Modified opposition-based differential evolution for function optimization. J. Comput. Inf. Syst. 7(5), 1582–1591 (2011) Xu, H.P., Erdbrink, C.D., Krzhizhanovskaya, V.V.: How to speed up optimization? opposite-center learning and its application to differential evolution. Procedia Comput. Sci. 51(1), 805–814 (2015) Ergezer, M., Simon, D.: Mathematical and experimental analyses of oppositional algorithms. IEEE Trans. Cybern. 44(11), 2178–2189 (2014) Rahnamayan, S., Wang, G.G., Ventresca, M.: An intuitive distance-based explanation of opposition-based sampling. Appl. Soft Comput. 12(9), 2828–2839 (2012) |
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Attribution-NonCommercial-ShareAlike 4.0 International |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ |
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Attribution-NonCommercial-ShareAlike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/ http://purl.org/coar/access_right/c_abf2 |
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Springer Verlag |
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Corporación Universidad de la Costa |
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Varela Izquierdo, NoelLezama Pineda, Omar BonergeDorta Gómez, RafaelViloria, AmelecDeras, IvanHernández Fernández, Lissette2019-05-14T13:26:08Z2019-05-14T13:26:08Z2018-06-16978-331993817-203029743https://hdl.handle.net/11323/3325Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Every day organizations pay more attention to Human Resources Management, because this human factor is preponderant in the results of it. An important policy is the Performance Evaluation (ED), since it allows the control and monitoring of management indicators, both individual and by process. To analyze the results, decision making in many organizations is done in a subjective manner and in consequence it brings serious problems to them. Taking into account this problem, it is decided to design and apply diffuse mathematical procedures and tools to reduce subjectivity and uncertainty in decision-making, creating work algorithms for this policy, which includes multifactorial weights and analysis with measurement indicators that they allow tangible and reliable results. Statistical techniques (ANOVA) are also used to establish relationships between work groups and learn about best practices.Cada día, las organizaciones prestan más atención a la Gestión de Recursos Humanos, porque este factor humano es preponderante en los resultados. Una política importante es la Evaluación de Desempeño (ED), ya que permite el control y monitoreo de los indicadores de gestión, tanto individuales como por proceso. Para analizar los resultados, la toma de decisiones en muchas organizaciones se realiza de manera subjetiva y, en consecuencia, les trae serios problemas. Teniendo en cuenta este problema, se decide diseñar y aplicar procedimientos matemáticos difusos y herramientas para reducir la subjetividad y la incertidumbre en la toma de decisiones, creando algoritmos de trabajo para esta política, que incluyen pesos multifactoriales y análisis con indicadores de medición que permiten tangibles y confiables. resultados Las técnicas estadísticas (ANOVA) también se utilizan para establecer relaciones entre grupos de trabajo y aprender sobre las mejores prácticas.Varela Izquierdo, Noel-0000-0001-7036-4414-600Lezama Pineda, Omar Bonerge-ce63ff8e-483d-44c4-8a08-ed549861a27a-0Dorta Gómez, Rafael-ae5015c8-6fa8-4307-9cb2-82df09563af7-0Viloria, Amelec-0000-0003-2673-6350-600Deras, Ivan-c4a4a57a-debc-46b1-bfb1-467c54ac99a5-0Hernández Fernández, Lissette-bc802d72-814d-407b-b73c-ec0640a444a1-0engSpringer VerlagDOI: 10.1007/978-3-319-93818-9_16Bernoulli, J.: Ars conjectandi (The art of conjecture). Impensis Thurnisiorum, Basel, Switzerland (1713) Papoulis, A., Pillai, S.: Probability, Random Variables, and Stochastic Processes. McGraw-Hill, New York (1965) Tizhoosh, R.: Opposition-based learning: a new scheme for machine intelligence. In: International Conference on Computational Intelligence for Modelling, Control and Automation, and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, Vienna, Austria, pp. 695–701 (2005) Xu, Q.Z., Wang, L., Wang, N., Hei, X.H., Zhao, L.: A review of opposition-based learning from 2005 to 2012. Eng. Appl. Artif. Intell. 29(1), 1–12 (2014) Rahnamayan, S., Tizhoosh, H.R., Salama, M.M.A.: Quasi-oppositional differential evolution. In: IEEE Congress on Evolutionary Computation, Singapore, pp. 2229–2236 (2007) Ergezer, M., Simon, D., Du, D.W.: Oppositional biogeography-based optimization. In: IEEE International Conference on Systems, Man and Cybernetics, San Antonio, USA, pp. 1009– 1014 (2009) Rahnamayan, S., Wang, G.G.: Center-based sampling for population-based algorithms. In: IEEE Congress on Evolutionary Computation, pp. 933–938. Trondheim, Norway (2009) Wang, H., Wu, Z.J., Liu, Y., Wang, J., Jiang, D.Z., Chen, L.L.: Space transformation search: a new evolutionary technique. In: ACM/SIGEVO Summit on Genetic and Evolutionary Computation, Shanghai, China, pp. 537–544 (2009) Xu, Q.Z., Wang, L., He, B.M., Wang, N.: Modified opposition-based differential evolution for function optimization. J. Comput. Inf. Syst. 7(5), 1582–1591 (2011) Xu, H.P., Erdbrink, C.D., Krzhizhanovskaya, V.V.: How to speed up optimization? opposite-center learning and its application to differential evolution. Procedia Comput. Sci. 51(1), 805–814 (2015) Ergezer, M., Simon, D.: Mathematical and experimental analyses of oppositional algorithms. IEEE Trans. Cybern. 44(11), 2178–2189 (2014) Rahnamayan, S., Wang, G.G., Ventresca, M.: An intuitive distance-based explanation of opposition-based sampling. Appl. Soft Comput. 12(9), 2828–2839 (2012)Attribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Fuzzy logicPerformance evaluatioLógica difusaEvaluación de desempeñoFuzzy logic applied to the performance evaluation. Honduran coffee sector caseLógica difusa aplicada a la evaluación de desempeño. caso del sector cafetalero Hondureño.Artículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersionPublicationORIGINAL2018_Book_AdvancesInSwarmIntelligence.pdf2018_Book_AdvancesInSwarmIntelligence.pdfapplication/pdf68913343https://repositorio.cuc.edu.co/bitstreams/817cbca4-1fff-49f4-abd5-dd6a4289e20d/downloadbc1e23be59af4f16fb8c1ce8065711b3MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-81031https://repositorio.cuc.edu.co/bitstreams/b200c639-00a3-423f-a4c5-fa9f606b0418/download934f4ca17e109e0a05eaeaba504d7ce4MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.cuc.edu.co/bitstreams/37fd3715-158d-4a02-a9ee-27d26ebcf2dc/download8a4605be74aa9ea9d79846c1fba20a33MD53THUMBNAIL2018_Book_AdvancesInSwarmIntelligence.pdf.jpg2018_Book_AdvancesInSwarmIntelligence.pdf.jpgimage/jpeg21572https://repositorio.cuc.edu.co/bitstreams/de759bda-e6dd-453e-b321-fce41821b10e/downloaddb9717a67c128215b5d1f1c4d78eb0cfMD55TEXT2018_Book_AdvancesInSwarmIntelligence.pdf.txt2018_Book_AdvancesInSwarmIntelligence.pdf.txttext/plain1242583https://repositorio.cuc.edu.co/bitstreams/bc762d22-bdcc-42d1-a23d-4dc36048d181/downloadb0ecffc3d33a82f7f735a436e7d92c2cMD5611323/3325oai:repositorio.cuc.edu.co:11323/33252024-09-17 14:06:02.818http://creativecommons.org/licenses/by-nc-sa/4.0/Attribution-NonCommercial-ShareAlike 4.0 Internationalopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.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 |