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| Rough-MARCOS× | Proces hierarchiczny× | Bayesian BWM× | |
|---|---|---|---|
| Dziedzina | Podejmowanie decyzji | Podejmowanie decyzji | Podejmowanie decyzji |
| Rodzina | MCDM | MCDM | MCDM |
| Rok powstania≠ | 2022 | 1980 | 2020 |
| Twórca≠ | Matić, B. Marinković, M. Jovanović, S. Sremac, S. Stević, Ž. | Saaty, T. L. | Mohammadi, M., Rezaei, J. |
| Typ≠ | Rough outranking/ranking — Rough number (lower approximation L, upper approximation U) | Pairwise comparison (eigenvalue) | Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision |
| Źródło pierwotne≠ | Matić, B., Marinković, M., Jovanović, S., Sremac, S., Stević, Ž. (2022). Intelligent Novel IMF D-SWARA—Rough MARCOS Algorithm for Selection Construction Machinery for Sustainable Construction of Road Infrastructure. Buildings DOI ↗ | Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713 | Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗ |
| Inne nazwy | — | — | — |
| Pokrewne | 8 | 8 | 8 |
| Podsumowanie≠ | ROUGH-MARCOS (Rough-MARCOS — Rough extension of MARCOS) is a ranking multi-criteria decision-making (MCDM) method introduced by Matić, B. Marinković, M. Jovanović, S. Sremac, S. Stević, Ž. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | AHP (Analytic Hierarchy Process) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1980. 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. |
| ScholarGateZbiór danych ↗ |
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