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Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.

Min-Max Normalization×Ponderação Aditiva Simples×
ÁreaTomada de decisãoTomada de decisão
FamíliaMCDMMCDM
Ano de origem19811967
Autor originalHwang, C. L., Yoon, K.Fishburn, P. C.
TipoNormalization (linear, range-scaling)Additive utility (linear)
Fonte seminalHwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI ↗Fishburn, P. C. (1967). Additive utilities with incomplete product sets: Application to priorities and assignments. Operations Research DOI ↗
Outros nomes
Relacionados88
ResumoMIN-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.SAW (Simple Additive Weighting) is a ranking multi-criteria decision-making (MCDM) method introduced by Fishburn, P. C. in 1967. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateComparar métodos: MIN-MAX-NORMALIZATION · SAW. Recuperado em 2026-06-15 de https://scholargate.app/pt/compare