ScholarGate
助手
MCDMRankingcrisp

基于加权欧氏距离的方法

WEDBA(基于加权欧氏距离的方法)是由 Dadelo, S., Turskis, Z., Zavadskas, E. K., Dadeliene, R. 于 2014 年提出的一种排序多标准决策(MCDM)方法。它将多个标准得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. Dadelo, S., Turskis, Z., Zavadskas, E. K., Dadeliene, R. (2014). Multi-criteria assessment and ranking system of sport team formation based on objective-measured values of criteria set. Expert Systems with Applications DOI: 10.1016/j.eswa.2014.03.036

如何引用本页

ScholarGate. (2026, June 2). Weighted Euclidean Distance Based Approach. ScholarGate. https://scholargate.app/zh/decision-making/wedba

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
ScholarGateWEDBA (Weighted Euclidean Distance Based Approach). 于 2026-06-15 检索自 https://scholargate.app/zh/decision-making/wedba · 数据集: https://doi.org/10.5281/zenodo.20539026