方法对比
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| 带BWM权重和粗糙数不确定性的Plithogenic MABAC× | 香农熵权重法× | |
|---|---|---|
| 领域 | 决策 | 决策 |
| 方法族 | MCDM | MCDM |
| 起源年份≠ | 2015 | 1948 |
| 提出者≠ | Pamučar, D. Ćirović, G. | Shannon, C. E. |
| 类型≠ | Plithogenic-rough border approximation area (PL+RN+MABAC) | Information-theoretic objective weighting (Shannon entropy) |
| 开创性文献≠ | Pamučar, D., Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using MABAC. Expert Systems with Applications link ↗ | Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal DOI ↗ |
| 别名 | — | — |
| 相关≠ | 3 | 8 |
| 摘要≠ | PL-MABAC (Plithogenic MABAC (with BWM weighting and Rough Number uncertainty)) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D. Ćirović, G. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | ENTROPY (Shannon Entropy Weighting Method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Shannon, C. E. in 1948. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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