MCDMRankingrough
ROUGH-DRSA(ROUGH-DRSA — DRSA的粗糙扩展)是由Greco, S., Matarazzo, B., Słowiński, R.于2001年提出的一种排序多准则决策(MCDM)方法。它将评分多个准则的备选方案的决策矩阵转化为结构化、可复现的结果。
实际决策需要权衡多个相互冲突的、以不同尺度衡量的准则。ROUGH-DRSA提供了一个透明的、分步的程序来组合这些准则,从而得到一个可辩护的结果,而不是仅仅依赖直觉。
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
- Greco, S., Matarazzo, B., Słowiński, R. (2001). Rough sets theory for multicriteria decision analysis. European Journal of Operational Research DOI: 10.1016/s0377-2217(00)00167-3 ↗
如何引用本页
ScholarGate. (2026, June 2). Rough-DRSA — Rough extension of DRSA. ScholarGate. https://scholargate.app/zh/decision-making/rough-drsa
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