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| Rough-TOPSIS× | Bayesian BWM× | |
|---|---|---|
| Fachgebiet | Entscheidungsfindung | Entscheidungsfindung |
| Familie | MCDM | MCDM |
| Entstehungsjahr≠ | 2013 | 2020 |
| Urheber≠ | Song, W. Ming, X. Wu, Z. | Mohammadi, M., Rezaei, J. |
| Typ≠ | Rough outranking/ranking — Rough number (lower approximation L, upper approximation U) | Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision |
| Wegweisende Quelle≠ | Song, W., Ming, X., Wu, Z. (2013). An integrated rough number-based approach to design concept evaluation under subjective environments. International Journal of Computer Integrated Manufacturing DOI ↗ | Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗ |
| Aliasnamen | — | — |
| Verwandt | 8 | 8 |
| Zusammenfassung≠ | ROUGH-TOPSIS (Rough-TOPSIS — Rough extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Song, W. Ming, X. Wu, Z. in 2013. 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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