Metodebevisregister

MIN-MAX-NORMALIZATION

MIN-MAX-NORMALIZATION (Min-Max Normalization — linear rescaling of each criterion column to [0, 1]) 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.

Sources recorded, not reviewed

Kilderegister

Siteringer kopiert ordrett fra metodens kilderegister. Ingen påstandsnivåverifisering er underforstått fra dem.

Min-Max Normalization — linear rescaling of each criterion column to [0, 1]

Taksonomisk metoderegister · mcdm / decision-making

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

Åpne full metode

Kuraterte påstander

Påstander lagret i bevishovedboken, hver med sin egen vurdering.

Ingen kuraterte påstander ennå

Denne visningen finner ikke opp en påstandsvurdering når hovedboken ikke har noen.

Relaterte metoder

Generert fra metodegrafen og vist som maskinforslåtte relasjoner – ingen bevispåstand er underforstått.

Same method familyCODASmachine-suggested · Relational suggestion, not evidence.Same method familyEDASmachine-suggested · Relational suggestion, not evidence.Same method familyMABACmachine-suggested · Relational suggestion, not evidence.Same method familyMARCOSmachine-suggested · Relational suggestion, not evidence.Same method familySAWmachine-suggested · Relational suggestion, not evidence.Same method familyTOPSISmachine-suggested · Relational suggestion, not evidence.Same method familyVIKORmachine-suggested · Relational suggestion, not evidence.Same method familyWASPASmachine-suggested · Relational suggestion, not evidence.