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| Prob-ARAS× | BWM bayesià× | |
|---|---|---|
| Camp | Presa de decisions | Presa de decisions |
| Família | MCDM | MCDM |
| Any d'origen≠ | 2010 | 2020 |
| Autor original≠ | Zavadskas, E. K. Turskis, Z. | Mohammadi, M., Rezaei, J. |
| Tipus≠ | Monte Carlo / stochastic weight uncertainty extension of ARAS | Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision |
| Font seminal≠ | Zavadskas, E. K., Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy link ↗ | Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗ |
| Àlies | — | — |
| Relacionats | 8 | 8 |
| Resum≠ | PROB-ARAS (Prob-ARAS — Stochastic extension of PROB-ARAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K. Turskis, Z. in 2010. 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. |
| ScholarGateConjunt de dades ↗ |
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