方法对比
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| Rough-EDAS× | 贝叶斯BWM× | |
|---|---|---|
| 领域 | 决策 | 决策 |
| 方法族 | MCDM | MCDM |
| 起源年份≠ | 2022 | 2020 |
| 提出者≠ | Paul, V.K. Chakraborty, S. Chakraborty, S. | Mohammadi, M., Rezaei, J. |
| 类型≠ | Rough outranking/ranking — Rough number (lower approximation L, upper approximation U) | Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision |
| 开创性文献≠ | Paul, V.K., Chakraborty, S., Chakraborty, S. (2022). An Integrated IRN-BWM-EDAS Method for Supplier Selection in a Textile Industry. Decision Making: Applications in Management and Engineering DOI ↗ | Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗ |
| 别名 | — | — |
| 相关 | 8 | 8 |
| 摘要≠ | ROUGH-EDAS (Rough-EDAS — Rough extension of EDAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Paul, V.K. Chakraborty, S. Chakraborty, S. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | BWM-BAYESIAN (Bayesian BWM — Probabilistic Group Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Mohammadi, M., Rezaei, J. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGate数据集 ↗ |
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