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Normalizácia vektorov×Technika poradia preferencií podľa podobnosti s ideálnym riešením×
OdborRozhodovanieRozhodovanie
RodinaMCDMMCDM
Rok vzniku19811981
TvorcaHwang, C. L., Yoon, K.Hwang, C. L., Yoon, K.
TypNormalization (L2, unit-sphere projection)Distance-based (compromise)
Pôvodný zdrojHwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI ↗Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications — A State-of-the-Art Survey. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI ↗
Ďalšie názvy
Príbuzné48
ZhrnutieNORM-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.TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a ranking 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.
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ScholarGatePorovnať metódy: NORM-VECTOR · TOPSIS. Získané 2026-06-17 z https://scholargate.app/sk/compare