Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Extension de TOPSIS aux Z-Nombres× | BWM bayésien× | |
|---|---|---|
| Domaine | Prise de décision | Prise de décision |
| Famille | MCDM | MCDM |
| Année d'origine≠ | 2018 | 2020 |
| Auteur d'origine≠ | Gardashova, L. A. | Mohammadi, M., Rezaei, J. |
| Type≠ | Z-Number outranking/ranking — Z-Number (Z = (A, B): restriction A, reliability B; both fuzzy) | Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision |
| Source fondatrice≠ | Gardashova, L. A. (2018). Z-Number Based TOPSIS Method in Multi-Criteria Decision Making. Advances in Intelligent Systems and Computing DOI ↗ | Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗ |
| Alias | — | — |
| Apparentées | 8 | 8 |
| Résumé≠ | Z-TOPSIS (Z-Number extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Gardashova, L. A. 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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