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Przeglądaj wybrane metody obok siebie; wiersze, które się różnią, są wyróżnione.
| Probabilistyczne rozszerzenie metody TOPSIS× | Proces hierarchiczny× | Bayesian BWM× | |
|---|---|---|---|
| Dziedzina | Podejmowanie decyzji | Podejmowanie decyzji | Podejmowanie decyzji |
| Rodzina | MCDM | MCDM | MCDM |
| Rok powstania≠ | — | 1980 | 2020 |
| Twórca≠ | PENDING_LITERATURE_SEARCH | Saaty, T. L. | Mohammadi, M., Rezaei, J. |
| Typ≠ | Probabilistic Hesitant outranking/ranking — Probabilistic Hesitant Fuzzy Element (PHFE: {γ|p} pairs) | Pairwise comparison (eigenvalue) | Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision |
| Źródło pierwotne≠ | PENDING_LITERATURE_SEARCH (). PENDING — PHF-TOPSIS specific seminal not confirmed. Zhang et al. 2017 (doi:10.1016/j.inffus.2017.02.001) is the foundational PHFS paper, not a PHF-TOPSIS paper. L.formulation.en cites 'Zhu & Xu 2018' as PHF-TOPSIS anchor — unverified. Candidate from search: Naeem et al. 2021 'Extended TOPSIS method based on the entropy measure and probabilistic hesitant fuzzy information' (JIFS, doi:10.3233/JIFS-202700) — not confirmed as the canonical seminal.. link ↗ | 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≠ | PHF-TOPSIS (Probabilistic Hesitant extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by PENDING_LITERATURE_SEARCH. 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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