ScholarGate
助手
MCDMNormalizationcrisp

线性求和归一化 — 列求和除法(概率/随机归一化)

LINEAR-SUM-NORMALIZATION(线性求和归一化 — 列求和除法(概率/随机归一化))是由 Zavadskas, E. K., Turskis, Z., Peldschus, F., Kaklauskas, A. 于 1994 年提出的一种多准则决策(MCDM)归一化方法。它将多个准则评分的备选方案决策矩阵转化为结构化、可复现的结果。

用 DecisionMind 应用即将推出视频即将推出Download slides

阅读完整方法

仅限会员

使用免费账户登录即可阅读本节。

登录

Method map

The neighbourhood of related methods — select a node to explore.

来源

  1. Zavadskas, E. K., Turskis, Z., Peldschus, F., Kaklauskas, A. (1994). Competitive comparison of contractors' offers in construction. Technika, Vilnius link

如何引用本页

ScholarGate. (2026, June 2). Linear Sum Normalization — column-sum division (probability / stochastic normalisation). ScholarGate. https://scholargate.app/zh/decision-making/linear-sum-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.

Compare side by side
ScholarGateLINEAR-SUM-NORMALIZATION (Linear Sum Normalization — column-sum division (probability / stochastic normalisation)). 于 2026-06-15 检索自 https://scholargate.app/zh/decision-making/linear-sum-normalization · 数据集: https://doi.org/10.5281/zenodo.20539026