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KEmeny Median Indicator Ranks Accordance×Tehnika eelistuste järjestamiseks ideaallahendusele sarnasuse järgi×
ValdkondOtsustamineOtsustamine
PerekondMCDMMCDM
Tekkeaasta20141981
LoojaKrylovas, A. Zavadskas, E. K. Kosareva, N. Dadelo, S.Hwang, C. L., Yoon, K.
TüüpGroup-of-criteria Kemeny-median weight elicitation + additive aggregation across two attribute groupsDistance-based (compromise)
AlgallikasKrylovas, 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 ↗
Rööpnimetused
Seotud48
KokkuvõteKEMIRA (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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ScholarGateVõrdle meetodeid: KEMIRA · TOPSIS. Loetud 2026-06-20 aadressilt https://scholargate.app/et/compare