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Vektornormalisierung×Kombinatorische Distanzbasierte Bewertung×
FachgebietEntscheidungsfindungEntscheidungsfindung
FamilieMCDMMCDM
Entstehungsjahr19812016
UrheberHwang, C. L., Yoon, K.Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J.
TypNormalization (L2, unit-sphere projection)Distance from anti-ideal (Euclidean + Taxicab)
Wegweisende QuelleHwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI ↗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 link ↗
Aliasnamen
Verwandt48
ZusammenfassungNORM-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.
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ScholarGateMethoden vergleichen: NORM-VECTOR · CODAS. Abgerufen am 2026-06-15 von https://scholargate.app/de/compare