Methoden vergelijken

	Kemeny Mediaan Indicator Ranks Overeenstemming	Techniek voor voorkeursordening op basis van gelijkenis met de ideale oplossing	Gewogen Som Model (Simple Additive Weighting)
Vakgebied	Besluitvorming	Besluitvorming	Besluitvorming
Familie	MCDM	MCDM	MCDM
Jaar van ontstaan	2014	1981	1967
Grondlegger	Krylovas, A. Zavadskas, E. K. Kosareva, N. Dadelo, S.	Hwang, C. L., Yoon, K.	Fishburn, P. C.
Type	Group-of-criteria Kemeny-median weight elicitation + additive aggregation across two attribute groups	Distance-based (compromise)	Additive utility — linear weighted sum
Oorspronkelijke bron	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	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	Fishburn, P. C. (1967). Additive utilities with incomplete product sets: Application to priorities and assignments. Operations Research
Aliassen	—	—	—
Verwant	4	8	8
Samenvatting	KEMIRA (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.