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| Neutrozoficzna rozszerzona wersja metody TODIM× | Bayesian BWM× | |
|---|---|---|
| Dziedzina | Podejmowanie decyzji | Podejmowanie decyzji |
| Rodzina | MCDM | MCDM |
| Rok powstania≠ | 2018 | 2020 |
| Twórca≠ | Ji, P., Zhang, H. Y., Wang, J. Q. | Mohammadi, M., Rezaei, J. |
| Typ≠ | Neutrosophic outranking/ranking — Single-Valued Neutrosophic Set (SVNS: T, I, F; T,I,F ∈ [0,1], T+I+F ≤ 3) | Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision |
| Źródło pierwotne≠ | Ji, P., Zhang, H. Y., Wang, J. Q. (2018). A projection-based TODIM method under multi-valued neutrosophic environments and its application in personnel selection. Neural Computing and Applications DOI ↗ | Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗ |
| Inne nazwy | — | — |
| Pokrewne | 8 | 8 |
| Podsumowanie≠ | N-TODIM (Neutrosophic extension of TODIM) is a ranking multi-criteria decision-making (MCDM) method introduced by Ji, P., Zhang, H. Y., Wang, J. Q. in 2018. 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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