Salīdzināt metodes

	KEmeny Median Indicator Ranks Accordance	Tehnika priekšrocību secībai pēc līdzības ar ideālo risinājumu	Svērtais reizinājumu modelis
Nozare	Lēmumu pieņemšana	Lēmumu pieņemšana	Lēmumu pieņemšana
Saime	MCDM	MCDM	MCDM
Izcelsmes gads	2014	1981	1969
Autors	Krylovas, A. Zavadskas, E. K. Kosareva, N. Dadelo, S.	Hwang, C. L., Yoon, K.	Miller, D. W., Starr, M. K.
Tips	Group-of-criteria Kemeny-median weight elicitation + additive aggregation across two attribute groups	Distance-based (compromise)	Multiplicative utility
Pirmavots	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
Citi nosaukumi	—	—	—
Saistītās	4	8	8
Kopsavilkums	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.