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| Езиково разширение на L2T-COPRAS× | Байесов BWM× | |
|---|---|---|
| Област | Вземане на решения | Вземане на решения |
| Семейство | MCDM | MCDM |
| Година на възникване≠ | 2021 | 2020 |
| Създател≠ | Gai, T., Cao, M., Cao, Q., Wu, J., Yu, G., Zhou, M. | Mohammadi, M., Rezaei, J. |
| Тип≠ | Linguistic outranking/ranking — 2-Tuple Linguistic Variable (2TL: (s_i, α)) | Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision |
| Основополагащ източник≠ | Gai, T., Cao, M., Cao, Q., Wu, J., Yu, G., Zhou, M. (2021). An integrated method for hybrid distribution with estimation of demand matching degree (interval 2-tuple linguistic COPRAS). link ↗ | Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗ |
| Други названия | — | — |
| Свързани | 8 | 8 |
| Резюме≠ | L2T-COPRAS (Linguistic extension of L2T-COPRAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Gai, T., Cao, M., Cao, Q., Wu, J., Yu, G., Zhou, M. 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 от данни ↗ |
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