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KEmeny Median Indicator Ranks Accordance×Technique pour le classement par similarité à la solution idéale×
DomainePrise de décisionPrise de décision
FamilleMCDMMCDM
Année d'origine20141981
Auteur d'origineKrylovas, A. Zavadskas, E. K. Kosareva, N. Dadelo, S.Hwang, C. L., Yoon, K.
TypeGroup-of-criteria Kemeny-median weight elicitation + additive aggregation across two attribute groupsDistance-based (compromise)
Source fondatriceKrylovas, 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 link ↗Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications — A State-of-the-Art Survey. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI ↗
Alias
Apparentées48
RésuméKEMIRA (KEmeny Median Indicator Ranks Accordance) is a ranking multi-criteria decision-making (MCDM) method introduced by Krylovas, A. Zavadskas, E. K. Kosareva, N. Dadelo, S. in 2014. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Hwang, C. L., Yoon, K. in 1981. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateComparer des méthodes: KEMIRA · TOPSIS. Consulté le 2026-06-20 sur https://scholargate.app/fr/compare