Võrdle meetodeid

	KEmeny Median Indicator Ranks Accordance	Tehnika eelistuste järjestamiseks ideaallahendusele sarnasuse järgi	Weighted Product Model
Valdkond	Otsustamine	Otsustamine	Otsustamine
Perekond	MCDM	MCDM	MCDM
Tekkeaasta	2014	1981	1969
Looja	Krylovas, A. Zavadskas, E. K. Kosareva, N. Dadelo, S.	Hwang, C. L., Yoon, K.	Miller, D. W., Starr, M. K.
Tüüp	Group-of-criteria Kemeny-median weight elicitation + additive aggregation across two attribute groups	Distance-based (compromise)	Multiplicative utility
Algallikas	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	Miller, D. W., Starr, M. K. (1969). Executive Decisions and Operations Research. Prentice-Hall
Rööpnimetused	—	—	—
Seotud	4	8	8
Kokkuvõte	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.	WPM (Weighted Product Model) is a ranking multi-criteria decision-making (MCDM) method introduced by Miller, D. W., Starr, M. K. in 1969. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.