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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。

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来源

  1. 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

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ScholarGateROUGH-DRSA (Rough-DRSA — Rough extension of DRSA). 于 2026-06-15 检索自 https://scholargate.app/zh/decision-making/rough-drsa · 数据集: https://doi.org/10.5281/zenodo.20539026