方法对比
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| MARCOS 的概率语言学扩展× | 标准差与相关系数客观赋权法× | |
|---|---|---|
| 领域 | 决策 | 决策 |
| 方法族 | MCDM | MCDM |
| 起源年份≠ | 2023 | 2010 |
| 提出者≠ | Wang, J., Wei, G., Wei, C., Wei, Y. | Wang, Y. M., Luo, Y. |
| 类型≠ | Probabilistic Linguistic outranking/ranking — Probabilistic Linguistic Term Set (PLTS: {L_k|p_k}) | Correlation-penalised standard-deviation weighting |
| 开创性文献≠ | (). UNCONFIRMED — PL-MARCOS specific seminal not confirmed via systematic literature search. PENDING link ↗ | Wang, Y. M., Luo, Y. (2010). Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Mathematical and Computer Modelling DOI ↗ |
| 别名 | — | — |
| 相关 | 8 | 8 |
| 摘要≠ | PL-MARCOS (Probabilistic Linguistic extension of MARCOS) is a ranking multi-criteria decision-making (MCDM) method introduced by Wang, J., Wei, G., Wei, C., Wei, Y. in 2023. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | CCSD (Criteria Correlation and Standard Deviation objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Wang, Y. M., Luo, Y. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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