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| Байесов BWM× | Автоматична комбинация на двойки линейни подредби× | |
|---|---|---|
| Област | Вземане на решения | Вземане на решения |
| Семейство | MCDM | MCDM |
| Година на възникване | 2020 | 2020 |
| Създател≠ | Mohammadi, M., Rezaei, J. | Konstantinos, N., Xenakis, A., Kehagias, A. |
| Тип≠ | Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision | Pairwise dominance aggregation (automatic combination) |
| Основополагащ източник≠ | Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗ | Konstantinos, N., Xenakis, A., Kehagias, A. (2020). APLOCO: A linear programming-based multicriteria ranking method that handles dependent criteria and criteria groups. Operational Research link ↗ |
| Други названия | — | — |
| Свързани | 8 | 8 |
| Резюме≠ | 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. | APLOCO (Automatic Pairwise Linear Order Combination) is a ranking multi-criteria decision-making (MCDM) method introduced by Konstantinos, N., Xenakis, A., Kehagias, A. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateНабор от данни ↗ |
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