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Vektornormalisering — Euklidisk kolonnenormskalering (L2-normalisering)

NORM-VECTOR (Vektornormalisering — Euklidisk kolonnenormskalering (L2-normalisering)) er en normaliseringsmetode for multi-kriterie beslutningstaking (MCDM) introdusert av Hwang, C. L., Yoon, K. i 1981. Den omgjør en beslutningsmatrise av alternativer vurdert på flere kriterier til et strukturert, reproduserbart resultat.

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Kilder

  1. Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI: 10.1007/978-3-642-48318-9

Slik siterer du denne siden

ScholarGate. (2026, June 2). Vector Normalization — Euclidean column-norm scaling (L2 normalisation). ScholarGate. https://scholargate.app/no/decision-making/norm-vector

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ScholarGateNORM-VECTOR (Vector Normalization — Euclidean column-norm scaling (L2 normalisation)). Hentet 2026-06-15 fra https://scholargate.app/no/decision-making/norm-vector · Datasett: https://doi.org/10.5281/zenodo.20539026