Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Extensão m-Polar Hesitante Fuzzy do TOPSIS× | Bayesian BWM× | |
|---|---|---|
| Área | Tomada de decisão | Tomada de decisão |
| Família | MCDM | MCDM |
| Ano de origem≠ | 2019 | 2020 |
| Autor original≠ | Akram, M., Adeel, A., Alcantud, J.C.R. | Mohammadi, M., Rezaei, J. |
| Tipo≠ | m-Polar Hesitant outranking/ranking — m-Polar Hesitant Fuzzy Element (mHFE: m-tuple of HFEs, ℏ_m: Z → P([0,1]^m)) | Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision |
| Fonte seminal≠ | Akram, M., Adeel, A., Alcantud, J.C.R. (2019). Multi-Criteria Group Decision-Making Using an m-Polar Hesitant Fuzzy TOPSIS Approach. Symmetry DOI ↗ | Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗ |
| Outros nomes | — | — |
| Relacionados | 8 | 8 |
| Resumo≠ | MHF-TOPSIS (m-Polar Hesitant Fuzzy extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Akram, M., Adeel, A., Alcantud, J.C.R. in 2019. 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. |
| ScholarGateConjunto de dados ↗ |
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