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KEmeny Median Indicator Ranks Accordance×Teknik för ordning av preferens genom likhet med ideal lösning×Viktad summa-modell (enkel additiv viktning)×
ÄmnesområdeBeslutsfattandeBeslutsfattandeBeslutsfattande
FamiljMCDMMCDMMCDM
Ursprungsår201419811967
UpphovspersonKrylovas, A. Zavadskas, E. K. Kosareva, N. Dadelo, S.Hwang, C. L., Yoon, K.Fishburn, P. C.
TypGroup-of-criteria Kemeny-median weight elicitation + additive aggregation across two attribute groupsDistance-based (compromise)Additive utility — linear weighted sum
UrsprungskällaKrylovas, 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 ↗Fishburn, P. C. (1967). Additive utilities with incomplete product sets: Application to priorities and assignments. Operations Research DOI ↗
Alias
Närliggande488
SammanfattningKEMIRA (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.WSM (Weighted Sum Model (Simple Additive Weighting)) is a ranking multi-criteria decision-making (MCDM) method introduced by Fishburn, P. C. in 1967. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateJämför metoder: KEMIRA · TOPSIS · WSM. Hämtad 2026-06-20 från https://scholargate.app/sv/compare