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Normalizzazione Min-Max×TOPSIS×
CampoProcesso decisionaleProcesso decisionale
FamigliaMCDMMCDM
Anno di origine19811981
IdeatoreHwang, C. L., Yoon, K.Hwang, C. L., Yoon, K.
TipoNormalization (linear, range-scaling)Distance-based (compromise)
Fonte seminaleHwang, 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 ↗
Alias
Correlati88
SintesiMIN-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.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.
ScholarGateInsieme di dati
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  3. PUBLISHED
  1. v1
  2. 1 Fonti
  3. PUBLISHED

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ScholarGateConfronta i metodi: MIN-MAX-NORMALIZATION · TOPSIS. Consultato il 2026-06-15 da https://scholargate.app/it/compare