MCDMNormalizationcrisp

Vektorska normalizacija — skaliranje normom kolone po Euklidu (L2 normalizacija)

NORM-VECTOR (Vektorska normalizacija — skaliranje normom kolone po Euklidu (L2 normalizacija)) je metoda normalizacije u okviru višekriterijumskog odlučivanja (MCDM) koju su uveli Hwang, C. L. i Yoon, K. 1981. godine. Ona pretvara matricu odlučivanja sa alternativama ocenjenim prema višestrukim kriterijumima u strukturiran, ponovljiv rezultat.

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Izvori

  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

Kako citirati ovu stranicu

ScholarGate. (2026, June 2). Vector Normalization — Euclidean column-norm scaling (L2 normalisation). ScholarGate. https://scholargate.app/sr/decision-making/norm-vector

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ScholarGateNORM-VECTOR (Vector Normalization — Euclidean column-norm scaling (L2 normalisation)). Preuzeto 2026-06-15 sa https://scholargate.app/sr/decision-making/norm-vector · Skup podataka: https://doi.org/10.5281/zenodo.20539026