MCDMWeight Subjectivecrisp
ROC — 排序中心点权重(基于排序的替代权重)
ROC-WEIGHT(ROC — 排序中心点权重(基于排序的替代权重))是由 Barron, F. H. 和 Barrett, B. E. 于 1996 年提出的一种主观多准则决策(MCDM)方法。它将一个包含多个准则评分的备选方案决策矩阵转化为结构化、可重现的结果。
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
- Barron, F. H. (1992). Selecting a best multiattribute alternative with partial information about attribute weights. Acta Psychologica DOI: 10.1016/0001-6918(92)90042-C ↗
如何引用本页
ScholarGate. (2026, June 2). ROC — Rank Order Centroid weights (rank-based surrogate weights). ScholarGate. https://scholargate.app/zh/decision-making/roc-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.
- AHPSort决策↔ compare
- 自动成对线性排序组合决策↔ compare
- 加法比率评估决策↔ compare
- AROMAN(考虑双步归一化的排序顺序方法)决策↔ compare
- 基于自适应标准化区间的替代方案排序技术决策↔ compare
- 综合基于距离的排序决策↔ compare
- 组合折衷解决策↔ compare
- 组合距离评估法决策↔ compare