Confronta i metodi

	Normalizzazione Logaritmica	Ottimizzazione Multi-Obiettivo tramite Analisi dei Rapporti	MULTIMOORA
Campo	Processo decisionale	Processo decisionale	Processo decisionale
Famiglia	MCDM	MCDM	MCDM
Anno di origine	2008	2006	2010
Ideatore	Zavadskas, E. K., Turskis, Z.	Brauers, W. K. M., Zavadskas, E. K.	Brauers, W. K. M., Zavadskas, E. K.
Tipo	Normalization (logarithmic, multiplicative)	Ratio system + reference point (vector normalisation)	Dominance aggregation of three sub-rankings (RS + RP + FMF)
Fonte seminale	Zavadskas, E. K., Turskis, Z. (2008). A new logarithmic normalization method in games theory. Informatica	Brauers, W. K. M., Zavadskas, E. K. (2006). The MOORA method and its application to privatization in a transition economy. Control and Cybernetics	Brauers, W. K. M., Zavadskas, E. K. (2010). Project management by MULTIMOORA as an instrument for transition economies. Technological and Economic Development of Economy
Alias	—	—	—
Correlati	2	8	8
Sintesi	LOGARITHMIC-NORMALIZATION (Logarithmic Normalization — log-ratio column normalisation for multiplicative aggregation contexts) is a normalization multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z. in 2008. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	MOORA (Multi-Objective Optimisation by Ratio Analysis) is a ranking multi-criteria decision-making (MCDM) method introduced by Brauers, W. K. M., Zavadskas, E. K. in 2006. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	MULTIMOORA (Multi-Objective Optimisation by Ratio Analysis plus Full Multiplicative Form) is a ranking multi-criteria decision-making (MCDM) method introduced by Brauers, W. K. M., Zavadskas, E. K. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.