Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| Neutrosophisk utvidelse av TOPSIS× | Bayesian BWM× | |
|---|---|---|
| Fagfelt | Beslutningstaking | Beslutningstaking |
| Familie | MCDM | MCDM |
| Opprinnelsesår≠ | 2016 | 2020 |
| Opphavsperson≠ | Biswas, P., Pramanik, S., Giri, B. C. | Mohammadi, M., Rezaei, J. |
| Type≠ | Neutrosophic outranking/ranking — Single-Valued Neutrosophic Set (SVNS: T, I, F; T,I,F ∈ [0,1], T+I+F ≤ 3) | Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision |
| Opprinnelig kilde≠ | Biswas, P., Pramanik, S., Giri, B. C. (2016). TOPSIS method for multi-attribute group decision-making under single-valued neutrosophic environment. Neural Computing and Applications DOI ↗ | Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗ |
| Alias | — | — |
| Relaterte | 8 | 8 |
| Sammendrag≠ | N-TOPSIS (Neutrosophic extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Biswas, P., Pramanik, S., Giri, B. C. in 2016. 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. |
| ScholarGateDatasett ↗ |
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