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COmprehensive distance Based RAnking×Pondération des critères par corrélation inter-critères×
DomainePrise de décisionPrise de décision
FamilleMCDMMCDM
Année d'origine20221995
Auteur d'origineKrstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P.Diakoulaki, D., Mavrotas, G., Papayannakis, L.
TypeDistance from PIS/NIS/AS (Euclidean × Taxicab combined)Statistical contrast intensity + correlation-based objective weighting
Source fondatriceKrstić, 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 ↗Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research DOI ↗
Alias
Apparentées88
RésuméCOBRA (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.CRITIC (CRiteria Importance Through Intercriteria Correlation) is a weight objective multi-criteria decision-making (MCDM) method introduced by Diakoulaki, D., Mavrotas, G., Papayannakis, L. in 1995. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateComparer des méthodes: COBRA · CRITIC. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare