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基于类别评估技术的吸引力测量×基于自适应标准化区间的替代方案排序技术×
领域决策决策
方法族MCDMMCDM
起源年份19942024
提出者Bana e Costa, C. A., Vansnick, J.-C.Kara, K., Yalçın, G. C., Kaygısız, E. G., Simic, V., Örnek, A. Ş., Pamucar, D.
类型Weight_Subjective (qualitative pairwise judgment, linear programming, MAVT-based)Two-level standardization + ideal/anti-ideal utility (β-anchored)
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 ↗Kara, K., Yalçın, G. C., Kaygısız, E. G., Simic, V., Örnek, A. Ş., Pamucar, D. (2024). A picture fuzzy CIMAS-ARTASI model for website performance analysis in human resource management. Applied Soft Computing DOI ↗
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.ARTASI (Alternative Ranking Technique based on Adaptive Standardized Intervals) is a ranking multi-criteria decision-making (MCDM) method introduced by Kara, K., Yalçın, G. C., Kaygısız, E. G., Simic, V., Örnek, A. Ş., Pamucar, D. in 2024. 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 · ARTASI. 于 2026-06-17 检索自 https://scholargate.app/zh/compare