MCDMRankingLinguistic probabilistic
带BWM权重和粗糙数不确定性的Plithogenic MABAC
PL-MABAC（带BWM权重和粗糙数不确定性的Plithogenic MABAC）是由Pamučar, D. Ćirović, G.于2015年提出的一种排序多标准决策（MCDM）方法。它将多个标准得分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
- Pamučar, D., Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using MABAC. Expert Systems with Applications link ↗
如何引用本页
ScholarGate. (2026, June 2). Plithogenic MABAC (with BWM weighting and Rough Number uncertainty). ScholarGate. https://scholargate.app/zh/decision-making/pl-mabac
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