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| MABAC (Multi-Attributive Border Approximation area Comparison)× | Bayesian BWM× | |
|---|---|---|
| Tieteenala | Päätöksenteko | Päätöksenteko |
| Menetelmäperhe | MCDM | MCDM |
| Syntyvuosi≠ | 2015 | 2020 |
| Kehittäjä≠ | Pamučar, D., Ćirović, G. | Mohammadi, M., Rezaei, J. |
| Tyyppi≠ | Border approximation area (distance from BAA) | Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision |
| Alkuperäislähde≠ | Pamučar, D., Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications DOI ↗ | Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗ |
| Rinnakkaisnimet | — | — |
| Liittyvät | 8 | 8 |
| Tiivistelmä≠ | MABAC (Multi-Attributive Border Approximation area Comparison) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D., Ćirović, G. in 2015. 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. |
| ScholarGateAineisto ↗ |
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