MCDMRankingcrisp
UTA* — 基于参考排序的加性效用分解（修订版UTA）
UTASTAR（UTA* — 基于参考排序的加性效用分解（修订版UTA））是由Siskos, Y.和Yannacopoulos, D.于1985年提出的一种排序多准则决策方法（MCDM）。它将评估多个准则得分的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
- Siskos, Y., Yannacopoulos, D. (1985). UTASTAR: An ordinal regression method for building additive value functions. Investigación Operativa link ↗
如何引用本页
ScholarGate. (2026, June 2). UTA* — Additive utility disaggregation from reference ranking (revised UTA). ScholarGate. https://scholargate.app/zh/decision-making/utastar
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