Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Fuzzy ARAS× | Fuzzy AROMAN× | |
|---|---|---|
| Nozare | Lēmumu pieņemšana | Lēmumu pieņemšana |
| Saime | MCDM | MCDM |
| Izcelsmes gads≠ | 2010 | 2023 |
| Autors≠ | Turskis, Z., Zavadskas, E. K. | Bošković et al. |
| Tips | Fuzzy outranking/ranking — Triangular Fuzzy Number (TFN: l, m, u) | Fuzzy outranking/ranking — Triangular Fuzzy Number (TFN: l, m, u) |
| Pirmavots≠ | Turskis, Z., Zavadskas, E. K. (2010). A new fuzzy additive ratio assessment method (ARAS–F). Case study: the analysis of fuzzy multiple criteria in order to select the logistic centers location. Transport DOI ↗ | Bošković et al. (2023). Fuzzy Alternative Ranking Order Method Accounting for two-step Normalization. IEEE Access link ↗ |
| Citi nosaukumi | — | — |
| Saistītās | 2 | 2 |
| Kopsavilkums≠ | FUZZY-ARAS (Fuzzy ARAS — Fuzzy extension of ARAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Turskis, Z., Zavadskas, E. K. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | FUZZY-AROMAN (Fuzzy AROMAN — Fuzzy extension of AROMAN) is a ranking multi-criteria decision-making (MCDM) method introduced by Bošković et al. in 2023. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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