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加法比率评估×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20102015
提出者Zavadskas, E. K., Turskis, Z.Pamučar, D., Ćirović, G.
类型Additive utility ratio (optimal reference row)Border approximation area (distance from BAA)
开创性文献Zavadskas, E. K., Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy link ↗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ARAS (Additive Ratio Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z. in 2010. 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.
ScholarGate数据集
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  1. v1
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  3. PUBLISHED

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ScholarGate方法对比: ARAS · MABAC. 于 2026-06-19 检索自 https://scholargate.app/zh/compare