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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.

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

Taxonomisk metodpost · 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

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