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基于类别评估技术的吸引力测量×综合基于距离的排序×
领域决策决策
方法族MCDMMCDM
起源年份19942022
提出者Bana e Costa, C. A., Vansnick, J.-C.Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P.
类型Weight_Subjective (qualitative pairwise judgment, linear programming, MAVT-based)Distance from PIS/NIS/AS (Euclidean × Taxicab combined)
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 ↗Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P. (2022). A Novel Axiomatic DEA-COBRA Framework for Evaluating the Sustainable Performance of Agri-Food Systems. Sustainability 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.COBRA (COmprehensive distance Based RAnking) is a ranking multi-criteria decision-making (MCDM) method introduced by Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P. in 2022. 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 · COBRA. 于 2026-06-17 检索自 https://scholargate.app/zh/compare