MCDMNormalizationcrisp
最小-最大归一化 — 将每个标准列线性重缩放到 [0, 1]
MIN-MAX-NORMALIZATION（最小-最大归一化 — 将每个标准列线性重缩放到 [0, 1]）是由 Hwang, C. L. 和 Yoon, K. 于 1981 年提出的一种多标准决策（MCDM）归一化方法。它将包含多个标准评分的备选方案决策矩阵转化为结构化、可复现的结果。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- 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 ↗
如何引用本页
ScholarGate. (2026, June 2). Min-Max Normalization — linear rescaling of each criterion column to [0, 1]. ScholarGate. https://scholargate.app/zh/decision-making/min-max-normalization
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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