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。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
来源
- 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.
- 层次分析法决策↔ compare
- Analytic Network Process (ANP,具有反馈和相互依赖性的AHP)决策↔ compare
- 最佳-最差法 (Best-Worst Method)决策↔ compare
- 贝叶斯BWM决策↔ compare
- 标准差与相关系数客观赋权法决策↔ compare
- 标准差法 (Criterion Impact LOSs objective weighting method)决策↔ compare
- CIMAS (Criterion Impact MeAsurement System)决策↔ compare
- 准则重要性通过准则间相关性 (CRITIC)决策↔ compare