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领域决策决策决策
方法族MCDMMCDMMCDM
起源年份200820062010
提出者Zavadskas, E. K., Turskis, Z.Brauers, W. K. M., Zavadskas, E. K.Brauers, W. K. M., Zavadskas, E. K.
类型Normalization (logarithmic, multiplicative)Ratio system + reference point (vector normalisation)Dominance aggregation of three sub-rankings (RS + RP + FMF)
开创性文献Zavadskas, E. K., Turskis, Z. (2008). A new logarithmic normalization method in games theory. Informatica DOI ↗Brauers, W. K. M., Zavadskas, E. K. (2006). The MOORA method and its application to privatization in a transition economy. Control and Cybernetics link ↗Brauers, W. K. M., Zavadskas, E. K. (2010). Project management by MULTIMOORA as an instrument for transition economies. Technological and Economic Development of Economy link ↗
别名
相关288
摘要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.
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ScholarGate方法对比: LOGARITHMIC-NORMALIZATION · MOORA · MULTIMOORA. 于 2026-06-17 检索自 https://scholargate.app/zh/compare