مقایسهٔ روش‌ها

	نرمال‌سازی لگاریتمی	بهینه‌سازی چندهدفه با تحلیل نسبت	بهینه‌سازی چندهدفه با تحلیل نسبت به علاوه فرم کامل ضربی
حوزه	تصمیم‌گیری	تصمیم‌گیری	تصمیم‌گیری
خانواده	MCDM	MCDM	MCDM
سال پیدایش	2008	2006	2010
پدیدآور	Zavadskas, E. K., Turskis, Z.	Brauers, W. K. M., Zavadskas, E. K.	Brauers, W. K. M., Zavadskas, E. K.
نوع	Normalization (logarithmic, multiplicative)	Ratio system + reference point (vector normalisation)	Dominance aggregation of three sub-rankings (RS + RP + FMF)
منبع بنیادین	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
نام‌های دیگر	—	—	—
مرتبط	2	8	8
خلاصه	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.