Confronta i metodi

	Decomposizione Logaritmica dell'Importanza dei Criteri	AHPSort	Combinazione Lineare Automatica a Coppie	Valutazione Additiva di Rapporto
Campo	Processo decisionale	Processo decisionale	Processo decisionale	Processo decisionale
Famiglia	MCDM	MCDM	MCDM	MCDM
Anno di origine	2024	2012	2020	2010
Ideatore	Pala, O.	Ishizaka, A., Nemery, P., Pearman, C.	Konstantinos, N., Xenakis, A., Kehagias, A.	Zavadskas, E. K., Turskis, Z.
Tipo	Objective weighting via logarithmic decomposition	AHP-based sorting with limiting or central profiles	Pairwise dominance aggregation (automatic combination)	Additive utility ratio (optimal reference row)
Fonte seminale	Pala, O. (2024). Assessment of the social progress on European Union by logarithmic decomposition of criteria importance. Expert Systems With Applications	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
Alias	—	—	—	—
Correlati	8	8	8	8
Sintesi	LODECI (LOgarithmic DEcomposition of Criteria Importance) is a weight objective multi-criteria decision-making (MCDM) method introduced by Pala, O. in 2024. 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.