Comparar métodos

	Ponderación del Coeficiente de Gini	AHPSort	Combinación Lineal por Pares Automática de Orden	Evaluación de Razón Aditiva
Campo	Toma de decisiones	Toma de decisiones	Toma de decisiones	Toma de decisiones
Familia	MCDM	MCDM	MCDM	MCDM
Año de origen	1912	2012	2020	2010
Autor original	Gini, C.	Ishizaka, A., Nemery, P., Pearman, C.	Konstantinos, N., Xenakis, A., Kehagias, A.	Zavadskas, E. K., Turskis, Z.
Tipo	Weight_Objective (Gini inequality coefficient applied to normalised criterion column)	AHP-based sorting with limiting or central profiles	Pairwise dominance aggregation (automatic combination)	Additive utility ratio (optimal reference row)
Fuente seminal	Gini, C. (1912). Variabilità e mutabilità. Studi economico-giuridici della R. Università di Cagliari	Ishizaka, A., Nemery, P., Pearman, C. (2012). AHPSort: An AHP-based method for sorting problems. International Journal of Production Research	Konstantinos, N., Xenakis, A., Kehagias, A. (2020). APLOCO: A linear programming-based multicriteria ranking method that handles dependent criteria and criteria groups. Operational Research	Zavadskas, E. K., Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy
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Relacionados	8	8	8	8
Resumen	GINI-WEIGHT (Gini Coefficient Weighting — inequality-of-discrimination objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Gini, C. in 1912. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	AHPSORT (AHPSort — AHP-based classification of alternatives into ordered categories) is a sorting multi-criteria decision-making (MCDM) method introduced by Ishizaka, A., Nemery, P., Pearman, C. in 2012. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	APLOCO (Automatic Pairwise Linear Order Combination) is a ranking multi-criteria decision-making (MCDM) method introduced by Konstantinos, N., Xenakis, A., Kehagias, A. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	ARAS (Additive Ratio Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.