MPF-PROMETHEE I/II 的 m-极模糊扩展，具有 AHP 推导的 Crisp 权重、六种 Brans–Vincke 广义标准偏好函数以及正/负/净排序流（Akram, Shumaiza & Alcantud 2020 / Akram & Adeel 2023 Ch. 7）
MPF-PROMETHEE（m-极模糊扩展，具有 AHP 推导的 Crisp 权重、六种 Brans–Vincke 广义标准偏好函数以及正/负/净排序流（Akram, Shumaiza & Alcantud 2020 / Akram & Adeel 2023 Ch. 7））是一种排序多标准决策（MCDM）方法，由 Akram, M., Shumaiza, Alcantud, J. C. R. 于 2020 年提出。它将备选方案在多个标准上的评分决策矩阵转化为结构化、可复现的结果。
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来源
- Akram, M., Shumaiza, Alcantud, J. C. R. (2020). An m-Polar Fuzzy PROMETHEE Approach for AHP-Assisted Group Decision-Making. Mathematical and Computational Applications (MDPI) DOI: 10.3390/mca25020026 ↗
如何引用本页
ScholarGate. (2026, June 2). m-Polar Fuzzy extension of PROMETHEE I/II with AHP-derived crisp weights, six Brans–Vincke generalized criteria preference functions, and positive/negative/net outranking flows (Akram, Shumaiza & Alcantud 2020 / Akram & Adeel 2023 Ch. 7). ScholarGate. https://scholargate.app/zh/decision-making/mpf-promethee
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