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对数加权法×多属性边界近似区域比较×
领域决策决策
方法族MCDMMCDM
起源年份20212015
提出者Pamučar, D., Žižović, M., Biswas, S., Božanić, D.Pamučar, D., Ćirović, G.
类型Logarithm-based additive weightingBorder approximation area (distance from BAA)
开创性文献Pamučar, D., Žižović, M., Biswas, S., Božanić, D. (2021). A new logarithm methodology of additive weights (LMAW) for multi-criteria decision-making: Application in logistics. Facta Universitatis, Series: Mechanical Engineering DOI ↗Pamučar, D., Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications DOI ↗
别名
相关88
摘要LMAW (Logarithm Methodology of Additive Weights) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D., Žižović, M., Biswas, S., Božanić, D. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.MABAC (Multi-Attributive Border Approximation area Comparison) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D., Ćirović, G. in 2015. 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: LMAW · MABAC. 于 2026-06-19 检索自 https://scholargate.app/zh/compare