Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| TOPSIS Hesitante m-Polar (Akram, Adeel & Alcantud 2019, Symmetry 11(6):795)× | Processo de Hierarquia Analítica× | Método Best-Worst× | |
|---|---|---|---|
| Área | Tomada de decisão | Tomada de decisão | Tomada de decisão |
| Família | MCDM | MCDM | MCDM |
| Ano de origem≠ | 2019 | 1980 | 2015 |
| Autor original≠ | Akram, M., Adeel, A., Alcantud, J. C. R. | Saaty, T. L. | Rezaei, J. |
| Tipo≠ | Distance-based ranking — m-polar hesitant fuzzy TOPSIS — pole-wise max/min ideals on a weighted mHF decision matrix (Eqs. 1–2), mHF Euclidean distance (Eqs. 3–4), closeness coefficient E_j' (Eq. 5) | Pairwise comparison (eigenvalue) | Pairwise comparison (best-to-others + others-to-worst vectors), LP |
| 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 (MDPI) DOI ↗ | Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713 | Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega DOI ↗ |
| Outros nomes | — | — | — |
| Relacionados≠ | 3 | 8 | 8 |
| Resumo≠ | MPF-HF-TOPSIS (m-Polar Hesitant Fuzzy TOPSIS (Akram, Adeel & Alcantud 2019, Symmetry 11(6):795) — multi-criteria group decision-making by extending TOPSIS to the m-polar hesitant fuzzy (mHF) set framework; pole-wise mHPIS/mHNIS extraction, mHF Euclidean distance and closeness coefficient ranking) 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. | 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 (Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Rezaei, J. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateConjunto de dados ↗ |
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