Comparer des méthodes

	Normalisation logarithmique	Optimisation Multi-Objectif par Analyse de Rapports	MULTIMOORA
Domaine	Prise de décision	Prise de décision	Prise de décision
Famille	MCDM	MCDM	MCDM
Année d'origine	2008	2006	2010
Auteur d'origine	Zavadskas, E. K., Turskis, Z.	Brauers, W. K. M., Zavadskas, E. K.	Brauers, W. K. M., Zavadskas, E. K.
Type	Normalization (logarithmic, multiplicative)	Ratio system + reference point (vector normalisation)	Dominance aggregation of three sub-rankings (RS + RP + FMF)
Source fondatrice	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	—	—	—
Apparentées	2	8	8
Résumé	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.