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Classificació Integral Basada en Distàncies×Mètode basat en els efectes d'eliminació de criteris×
CampPresa de decisionsPresa de decisions
FamíliaMCDMMCDM
Any d'origen20222021
Autor originalKrstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P.Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z.
TipusDistance from PIS/NIS/AS (Euclidean × Taxicab combined)Removal-effect objective weighting (logarithmic utility)
Font seminalKrstić, 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 ↗Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z. (2021). Determination of objective weights using a new method based on the removal effects of criteria (MEREC). Informatica DOI ↗
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ResumCOBRA (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.MEREC (MEthod based on the Removal Effects of Criteria) is a weight objective multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateCompara mètodes: COBRA · MEREC. Recuperat el 2026-06-15 de https://scholargate.app/ca/compare