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MCDMWeight Objectivecrisp

PCA权重 — 基于主成分分析的目标权重

PCA-WEIGHT(PCA权重 — 基于主成分分析的目标权重)是一种客观权重多准则决策(MCDM)方法,由K. Pearson于1901年提出。它将评分在多个准则上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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来源

  1. Pearson, K. (1901). On lines and planes of closest fit to systems of points in space. Philosophical Magazine DOI: 10.1080/14786440109462720

如何引用本页

ScholarGate. (2026, June 2). PCA Weighting — Principal Component Analysis based objective weighting. ScholarGate. https://scholargate.app/zh/decision-making/pca-weight

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.

Compare side by side
ScholarGatePCA-WEIGHT (PCA Weighting — Principal Component Analysis based objective weighting). 于 2026-06-15 检索自 https://scholargate.app/zh/decision-making/pca-weight · 数据集: https://doi.org/10.5281/zenodo.20539026