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基于类别评估技术的吸引力测量×组合距离评估法×
领域决策决策
方法族MCDMMCDM
起源年份19942016
提出者Bana e Costa, C. A., Vansnick, J.-C.Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J.
类型Weight_Subjective (qualitative pairwise judgment, linear programming, MAVT-based)Distance from anti-ideal (Euclidean + Taxicab)
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 ↗Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. (2016). A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making. Economic Computation and Economic Cybernetics Studies and Research 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.CODAS (Combinative Distance-Based Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. in 2016. 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 · CODAS. 于 2026-06-15 检索自 https://scholargate.app/zh/compare