Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| IV-TOPSIS× | Bayesian BWM× | |
|---|---|---|
| Nozare | Lēmumu pieņemšana | Lēmumu pieņemšana |
| Saime | MCDM | MCDM |
| Izcelsmes gads≠ | 2006 | 2020 |
| Autors≠ | Jahanshahloo, G. R., Lotfi, F. H., Izadikhah, M. | Mohammadi, M., Rezaei, J. |
| Tips≠ | Interval outranking/ranking — Interval Number (IN: [a, b]) | Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision |
| Pirmavots≠ | Jahanshahloo, G. R., Lotfi, F. H., Izadikhah, M. (2006). An algorithmic method to extend TOPSIS for decision-making problems with interval data. Applied Mathematics and Computation DOI ↗ | Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗ |
| Citi nosaukumi | — | — |
| Saistītās | 8 | 8 |
| Kopsavilkums≠ | IV-TOPSIS (Interval extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Jahanshahloo, G. R., Lotfi, F. H., Izadikhah, M. in 2006. 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. |
| ScholarGateDatu kopa ↗ |
|
|