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Normalizzazione Min-Max×Misurazione di Alternative e Classificazione secondo la Soluzione di Compromesso×
CampoProcesso decisionaleProcesso decisionale
FamigliaMCDMMCDM
Anno di origine19812020
IdeatoreHwang, C. L., Yoon, K.Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P.
TipoNormalization (linear, range-scaling)Utility function (ideal + anti-ideal reference)
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 ↗Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS). Computers & Industrial Engineering 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.MARCOS (Measurement of Alternatives and Ranking according to Compromise Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateConfronta i metodi: MIN-MAX-NORMALIZATION · MARCOS. Consultato il 2026-06-15 da https://scholargate.app/it/compare