Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Rough-ARAS× | Байесовский BWM× | |
|---|---|---|
| Область | Принятие решений | Принятие решений |
| Семейство | MCDM | MCDM |
| Год появления≠ | 2021 | 2020 |
| Автор метода≠ | Daoud Ben Amor, W., Moalla Frikha, H., Martínez López, L. | Mohammadi, M., Rezaei, J. |
| Тип≠ | Rough outranking/ranking — Rough number (lower approximation L, upper approximation U) | Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision |
| Основополагающий источник≠ | 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 ↗ |
| Другие названия | — | — |
| Связанные | 8 | 8 |
| Сводка≠ | 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. |
| ScholarGateНабор данных ↗ |
|
|