MCDMNormalizationcrisp

Min-Max Normalization — linearno skaliranje svakog stupca kriterija na [0, 1]

MIN-MAX-NORMALIZATION (Min-Max Normalization — linearno skaliranje svakog stupca kriterija na [0, 1]) je metoda normalizacije u višekriterijskom odlučivanju (MCDM) koju su uveli Hwang, C. L., Yoon, K. 1981. godine. Ona pretvara odlučiteljsku matricu alternativa ocjenjenih prema višestrukim kriterijima 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). Min-Max Normalization — linear rescaling of each criterion column to [0, 1]. ScholarGate. https://scholargate.app/hr/decision-making/min-max-normalization

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ScholarGateMIN-MAX-NORMALIZATION (Min-Max Normalization — linear rescaling of each criterion column to [0, 1]). Preuzeto 2026-06-15 s https://scholargate.app/hr/decision-making/min-max-normalization · Skup podataka: https://doi.org/10.5281/zenodo.20539026