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ROC×COBRA (COmprehensive distance Based RAnking)×
분야의사결정의사결정
계열MCDMMCDM
기원 연도19962022
창시자Barron, F. H., Barrett, B. E.Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P.
유형Weight_SubjectiveDistance from PIS/NIS/AS (Euclidean × Taxicab combined)
원전Barron, 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 ↗
별칭
관련88
요약ROC-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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ScholarGate방법 비교: ROC-WEIGHT · COBRA. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare