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ROUGH-ARAS — ARAS的粗糙扩展

ROUGH-ARAS(ROUGH-ARAS — ARAS的粗糙扩展)是由Daoud Ben Amor, W., Moalla Frikha, H., Martínez López, L.于2021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决策矩阵转化为结构化、可复现的结果。

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来源

  1. Daoud Ben Amor, W., Moalla Frikha, H., Martínez López, L. (2021). The Interval Rough Number of the Extended ARAS Method for Solving Multi-Criteria Group Decision Making. 2021 International Conference on Decision Aid Sciences and Application (DASA) DOI: 10.1109/DASA53625.2021.9681928

如何引用本页

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

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