Application of Fuzzy Logic in projects

Authors

  • Víctor Antonio Entenza Boggiano Universidad Central “Marta Abreu” de Las Villas
  • Lucia Argüelles Cortés Universidad Central “Marta Abreu” de Las Villas
  • Daylenis Dorta Enríquez Universidad Central “Marta Abreu” de Las Villas

DOI:

https://doi.org/10.36790/epistemus.v12i25.78

Keywords:

project management, fuzzy indexes, decision making by consensus, project risks, hierarchical methods

Abstract

This work was proposed to provide a methodological guide to use the techniques of fuzzy logic in project management. First, the basic notions on which the required fuzzy logic is based were introduced. Three aspects were focused on the management of projects, where it is possible to apply Fuzzy Logic to evaluate with more objectivity its significance and scope: the management of indexes that justify the rationality of the investment, so that economic benefits can be measured; the determination of a hierarchy of risks with a view to taking them into consideration to minimize their impact and decision making in an environment in which both objective and subjective factors converge. Then, corresponding fuzzy logic techniques were explained: the use of diffuse VAN, the hierarchical analysis of alternatives and decision making through a certain consensus. The specificities of three problems were discussed, the first one regarding the determination of diffuse VAN....

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References

Cruz Martínez, A. e. (2017). La lógica difusa en la modelización del riesgo operacional. Una solución desde la inteligencia artificial en la banca cubana. Cofin vol.11 no.2 La Habana jul.-dic. , Cofin vol.11(2).

Díaz Córdova, J. F., Coba Molina, E., & Navarrete, P. (2017). Lógica difusa y el riesgo financiero. Una propuestade clasificación de riesgo financiero al sector cooperativo. Contaduría y Administración 62, 1670–1686. DOI: https://doi.org/10.1016/j.cya.2017.09.001

Grau, N., & Bodea, C.-N. (2014). ISO 21500 project management standard: : Characteristics, comparison and implementation. VShaker Verlag GmbH, Germany.

Institute, P. M. (2017). A guide to the project management body of knowledge (PMBOK guide) Sixth Edition / Project Management Institute. Project Management Institute (PMI), Inc. Newtown Square, Pennsylvania 19073-3299 USA.

ISO. ISO 21500:2012 (2012) Guidance on Project Management. International Organization for Standardization. Disponible en: http://www.iso.org/iso/catalogue_detail?csnumber=50003.

Montero, J. C. (26 de noviembre de 2015). Aplicación de la lógica difusa compensatoria en el sector empresarial. Obtenido de Research Gate: www.researchgate.net/publication/284722771_Aplicacion_de_la_logica_difusa_compensatoria_en_el_sector_empresarial.

Pacelli, L., (2004). The Project Management Advisor: 18 major project screw-ups, and how to cut them off at the pass. Pearson Education.

Ruvalcaba Coyaso, F. J., & Vermonden, A. ( 2015 ). Lógica difusa para la toma de decisiones y la selección de personal. Universidad & Empresa, vol. 17, no. 29. DOI: https://doi.org/10.12804/rev.univ.empresa.29.2015.10

Vostrov, M. (24 de enero de 2014). Ejemplo simple de creación de un indicador usando la lógica difusa. Obtenido de MQL5: www.mql5.com/es/articles/178

Stellingwerf, R., & Zandhuis, A. (2013). ISO 21500 Guidance On Project Management: A Pocket Guide (Best Practice). Van Haren.

Zadeh, L. (1994). Fuzzy logic. Neural networks and soft computing. Communications of the ACM , 77–84. DOI: https://doi.org/10.1145/175247.175255

Zadeh, L. A. (1996). Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems: Selected Papers. George Klir. DOI: https://doi.org/10.1142/2895

Published

2020-01-24

How to Cite

Entenza Boggiano, V. A., Argüelles Cortés, L., & Dorta Enríquez, D. D. E. (2020). Application of Fuzzy Logic in projects. EPISTEMUS, 12(25), 7–14. https://doi.org/10.36790/epistemus.v12i25.78

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