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| ROUGH-ARAS× | BWM bayesiano× | |
|---|---|---|
| Campo | Processo decisionale | Processo decisionale |
| Famiglia | MCDM | MCDM |
| Anno di origine≠ | 2021 | 2020 |
| Ideatore≠ | Daoud Ben Amor, W., Moalla Frikha, H., Martínez López, L. | Mohammadi, M., Rezaei, J. |
| Tipo≠ | Rough outranking/ranking — Rough number (lower approximation L, upper approximation U) | Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision |
| Fonte seminale≠ | Daoud Ben Amor, W., Moalla Frikha, H., Martínez López, L. (2021). The Interval Rough Number of the Extended ARAS Method for Solving Multi-Criteria Group Decision Making. 2021 International Conference on Decision Aid Sciences and Application (DASA) DOI ↗ | Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗ |
| Alias | — | — |
| Correlati | 8 | 8 |
| Sintesi≠ | ROUGH-ARAS (Rough-ARAS — Rough extension of ARAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Daoud Ben Amor, W., Moalla Frikha, H., Martínez López, L. in 2021. 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. |
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