Ranking
KEMIRA: KEmeny Median Indicator Ranks Accordance
Krylovas, A., Zavadskas, E. K., Kosareva, N., Dadelo, S. · 2014
Method assistant
Grounded explanations: it explains the method, it does not compute.
Assumptions to verify
- •Input is a rank matrix (1=best, m=worst per voter)
- •Each voter ranks all alternatives
When not to use
- •Cardinal preferences important → use a MAUT method
How to cite
Krylovas, A.; Zavadskas, E. K.; Kosareva, N.; Dadelo, S. (2014). New KEMIRA method for determining priorities of the attributes in solving MCDM problem. International Journal of Information Technology & Decision Making. https://doi.org/10.1142/S0219622014500564