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Rough-EDAS — EDAS的粗糙扩展

ROUGH-EDAS(Rough-EDAS — EDAS的粗糙扩展)是由Paul, V.K. Chakraborty, S. Chakraborty, S.于2022年提出的一种排序多准则决策(MCDM)方法。它将一个由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。

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来源

  1. Paul, V.K., Chakraborty, S., Chakraborty, S. (2022). An Integrated IRN-BWM-EDAS Method for Supplier Selection in a Textile Industry. Decision Making: Applications in Management and Engineering DOI: 10.31181/dmame0307102022p

如何引用本页

ScholarGate. (2026, June 2). Rough-EDAS — Rough extension of EDAS. ScholarGate. https://scholargate.app/zh/decision-making/rough-edas

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