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线性最大值归一化 — 除以列最大值(效益)或列最小值除以值(成本)

线性最大值归一化(LINEAR-MAX-NORMALIZATION — 除以列最大值(效益)或列最小值除以值(成本))是一种多准则决策(MCDM)归一化方法,由 P. C. Fishburn 于 1967 年提出。它将多个准则评分的方案决策矩阵转化为结构化、可复现的结果。

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来源

  1. Fishburn, P. C. (1967). Additive Utilities with Incomplete Product Sets: Application to Priorities and Assignments. Operations Research DOI: 10.1287/opre.15.3.537

如何引用本页

ScholarGate. (2026, June 2). Linear Max Normalization — division by column maximum (benefit) or column minimum over value (cost). ScholarGate. https://scholargate.app/zh/decision-making/linear-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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ScholarGateLINEAR-MAX-NORMALIZATION (Linear Max Normalization — division by column maximum (benefit) or column minimum over value (cost)). 于 2026-06-15 检索自 https://scholargate.app/zh/decision-making/linear-max-normalization · 数据集: https://doi.org/10.5281/zenodo.20539026