Including uncertainties in multi-criteria decision-making: A superfluous task or a requirement?

Sandra Galarza-Molina; Andrés Torres

doi:10.11144/Javeriana.iyu23-1.iumd

Including uncertainties in multi-criteria decision-making: A superfluous task or a requirement?

Título traducido de la contribución: Incluyendo incertidumbres en la toma de decisiones multi-criterio: ¿una tarea superflua o un requerimiento?

Sandra Galarza-Molina, Andrés Torres

Producción: Contribución a una revista › Artículo › revisión exhaustiva

Resumen

Objetivo: El objetivo de este artículo es evaluar en qué casos es necesario incluir incertidumbres en la información necesaria para la toma de decisiones. Materiales y métodos: Tres casos de estudio con un número diferente de alternativas y diferente número y natrualeza de criterios fueron evaluados. La herramienta CRIDE se utilizó para incluir las incertidumbres en la información de entrada. Resultados y discusión: Los resultados obtenidos muestran que para problemas de toma de decisión más complejos, la inclusión de variaciones en los datos de entrada pueden incidir en la decisión final, mientras que para problemas menos difíciles es innecesario tomar en cuenta dichas incertidumbres. Conclusiones: Estos hallazgos pueden resultar útiles para los tomadores de decisiones en cuanto a la obtención de resultados más precisos o con el propósito de ahorrar tiempo y dinero relacionado con la adquisición de la información necesaria para la toma de decisiones.

Título traducido de la contribución	Incluyendo incertidumbres en la toma de decisiones multi-criterio: ¿una tarea superflua o un requerimiento?
Idioma original	Inglés
Páginas (desde-hasta)	1-25
Publicación	Ingenieria y Universidad
Volumen	23
N.º	1
DOI	https://doi.org/10.11144/Javeriana.iyu23-1.iumd https://doi.org/10.11144/Javeriana.iyu23-1.iumd
Estado	Publicada - 2019

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title = "Including uncertainties in multi-criteria decision-making: A superfluous task or a requirement?",

abstract = "Objective: This paper aims to assess cases where it is necessary to include uncertainties in decision-making input data. Materials and Methods: Three case studies with different numbers of alternatives and different numbers and natures of criteria were evaluated. The CRIDE tool [39] was used to include uncertainties in the input data. Results and Discussion: The results obtained showed that for more difficult decision-making problems, the inclusion of variations in input data could change the final decision, while for less challenging problems, it is unnecessary to take uncertainties into account. Conclusions: These findings could be useful for decision-makers in obtaining more accurate results or in saving time and money related to input data acquisition.",

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AU - Torres, Andrés

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N2 - Objective: This paper aims to assess cases where it is necessary to include uncertainties in decision-making input data. Materials and Methods: Three case studies with different numbers of alternatives and different numbers and natures of criteria were evaluated. The CRIDE tool [39] was used to include uncertainties in the input data. Results and Discussion: The results obtained showed that for more difficult decision-making problems, the inclusion of variations in input data could change the final decision, while for less challenging problems, it is unnecessary to take uncertainties into account. Conclusions: These findings could be useful for decision-makers in obtaining more accurate results or in saving time and money related to input data acquisition.

AB - Objective: This paper aims to assess cases where it is necessary to include uncertainties in decision-making input data. Materials and Methods: Three case studies with different numbers of alternatives and different numbers and natures of criteria were evaluated. The CRIDE tool [39] was used to include uncertainties in the input data. Results and Discussion: The results obtained showed that for more difficult decision-making problems, the inclusion of variations in input data could change the final decision, while for less challenging problems, it is unnecessary to take uncertainties into account. Conclusions: These findings could be useful for decision-makers in obtaining more accurate results or in saving time and money related to input data acquisition.

KW - Multicriteria decision-making

KW - Robustness

KW - Sensitivity and redundancy analysis

KW - Uncertainties

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Including uncertainties in multi-criteria decision-making: A superfluous task or a requirement?

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