Methoden vergleichen
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| Intuitionistische Erweiterung von MABAC× | Bayesian BWM× | |
|---|---|---|
| Fachgebiet | Entscheidungsfindung | Entscheidungsfindung |
| Familie | MCDM | MCDM |
| Entstehungsjahr≠ | 2021 | 2020 |
| Urheber≠ | Li, Y. | Mohammadi, M., Rezaei, J. |
| Typ≠ | Intuitionistic outranking/ranking — Intuitionistic Fuzzy Number (IFN: μ, ν; μ+ν ≤ 1) | Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision |
| Wegweisende Quelle≠ | 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, 42(6), 3016-3028. [Canonical MABAC source; cited in place of the retracted Li (2021) intuitionistic-fuzzy MABAC paper, doi:10.1155/2021/5536751.] DOI ↗ | Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗ |
| Aliasnamen | — | — |
| Verwandt | 8 | 8 |
| Zusammenfassung≠ | IF-MABAC (Intuitionistic extension of MABAC) is a ranking multi-criteria decision-making (MCDM) method introduced by Li, Y. in 2021. 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. |
| ScholarGateDatensatz ↗ |
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