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| Rough-TODIM× | Bayesian BWM× | |
|---|---|---|
| Fachgebiet | Entscheidungsfindung | Entscheidungsfindung |
| Familie | MCDM | MCDM |
| Entstehungsjahr≠ | 2024 | 2020 |
| Urheber≠ | Tiwari, V. Khanna, P. Tandon, P. | 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≠ | Tiwari, V., Khanna, P., Tandon, P. (2024). Capturing Design Intent During Concept Evaluation Using Rough Numbers and TODIM Method. Computer-Aided Design & Applications DOI ↗ | Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗ |
| Aliasnamen | — | — |
| Verwandt | 8 | 8 |
| Zusammenfassung≠ | ROUGH-TODIM (Rough-TODIM — Rough extension of TODIM) is a ranking multi-criteria decision-making (MCDM) method introduced by Tiwari, V. Khanna, P. Tandon, P. in 2024. 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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