Ranking
COBRA: COmprehensive distance Based RAnking
Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P. · 2022
Strengths
- •Combines both Euclidean and Taxicab distance metrics
- •Uses PIS, NIS and average solution as reference points simultaneously
- •Direction-agnostic normalisation avoids bias from criterion direction
Limitations
- •Assumes criteria preferences are independent (no synergistic interactions)
- •Assumes compensation is acceptable
- •Assumes decision matrix is complete (no missing values)
Method assistant
Grounded explanations: it explains the method, it does not compute.
Assumptions to verify
- •Criteria preferences are independent (no synergistic interactions)
- •Compensation is acceptable: high score on one criterion can offset low on another
- •Decision matrix is complete (no missing values)
When not to use
- •Criteria strongly correlated → consider DEMATEL/ANP for interdependence
- •Non-compensatory preferences → consider outranking (ELECTRE/PROMETHEE)
Commonly paired with
- •AHP + COBRA (medium)
- •ENTROPY + COBRA (medium)
- •CRITIC + COBRA (medium)
How to cite
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. https://doi.org/10.3390/su14095632