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基于类别评估技术的吸引力测量×加法比率评估×
领域决策决策
方法族MCDMMCDM
起源年份19942010
提出者Bana e Costa, C. A., Vansnick, J.-C.Zavadskas, E. K., Turskis, Z.
类型Weight_Subjective (qualitative pairwise judgment, linear programming, MAVT-based)Additive utility ratio (optimal reference row)
开创性文献Bana e Costa, C. A., Vansnick, J.-C. (1994). MACBETH — An interactive path towards the construction of cardinal value functions. International Transactions in Operational Research DOI ↗Zavadskas, E. K., Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy link ↗
别名
相关88
摘要MACBETH (Measuring Attractiveness by a Categorical-Based Evaluation Technique) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Bana e Costa, C. A., Vansnick, J.-C. in 1994. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.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.
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ScholarGate方法对比: MACBETH · ARAS. 于 2026-06-17 检索自 https://scholargate.app/zh/compare