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Vektornormalisering×Viktad aggregerad summa produktbedömning×
ÄmnesområdeBeslutsfattandeBeslutsfattande
FamiljMCDMMCDM
Ursprungsår19812012
UpphovspersonHwang, C. L., Yoon, K.Zavadskas, E. K., Turskis, Z., Antucheviciene, J., Zakarevicius, A.
TypNormalization (L2, unit-sphere projection)Convex combination (SAW + WPM)
UrsprungskällaHwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI ↗Zavadskas, E. K., Turskis, Z., Antucheviciene, J., Zakarevicius, A. (2012). Optimization of weighted aggregated sum product assessment. Elektronika ir Elektrotechnika DOI ↗
Alias
Närliggande48
SammanfattningNORM-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.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.
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ScholarGateJämför metoder: NORM-VECTOR · WASPAS. Hämtad 2026-06-17 från https://scholargate.app/sv/compare