Võrdle meetodeid

	Vektori normaliseerimine	Kombinatiivne kauguspõhine hindamine	Hindamismeetod keskmisest lahendusest lähtuvate kauguste põhjal	Kaalutud agregatsioon summatoodete hindamismeetod
Valdkond	Otsustamine	Otsustamine	Otsustamine	Otsustamine
Perekond	MCDM	MCDM	MCDM	MCDM
Tekkeaasta	1981	2016	2015	2012
Looja	Hwang, C. L., Yoon, K.	Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J.	Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z.	Zavadskas, E. K., Turskis, Z., Antucheviciene, J., Zakarevicius, A.
Tüüp	Normalization (L2, unit-sphere projection)	Distance from anti-ideal (Euclidean + Taxicab)	Distance from average solution	Convex combination (SAW + WPM)
Algallikas	Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag	Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. (2016). A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making. Economic Computation and Economic Cybernetics Studies and Research	Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica	Zavadskas, E. K., Turskis, Z., Antucheviciene, J., Zakarevicius, A. (2012). Optimization of weighted aggregated sum product assessment. Elektronika ir Elektrotechnika
Rööpnimetused	—	—	—	—
Seotud	4	8	8	8
Kokkuvõte	NORM-VECTOR (Vector Normalization — Euclidean column-norm scaling (L2 normalisation)) is a normalization 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.	CODAS (Combinative Distance-Based Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	EDAS (Evaluation Based on Distance from Average Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	WASPAS (Weighted Aggregated Sum Product Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z., Antucheviciene, J., Zakarevicius, A. in 2012. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.