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ROC×综合基于距离的排序×
领域决策决策
方法族MCDMMCDM
起源年份19962022
提出者Barron, F. H., Barrett, B. E.Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P.
类型Weight_SubjectiveDistance from PIS/NIS/AS (Euclidean × Taxicab combined)
开创性文献Barron, F. H. (1992). Selecting a best multiattribute alternative with partial information about attribute weights. Acta Psychologica 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ROC-WEIGHT (ROC — Rank Order Centroid weights (rank-based surrogate weights)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Barron, F. H., Barrett, B. E. in 1996. 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: ROC-WEIGHT · COBRA. 于 2026-06-18 检索自 https://scholargate.app/zh/compare