Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| B-WENSLO× | AROMAN× | COBRA (COmprehensive distance Based RAnking)× | |
|---|---|---|---|
| Nozare | Lēmumu pieņemšana | Lēmumu pieņemšana | Lēmumu pieņemšana |
| Saime | MCDM | MCDM | MCDM |
| Izcelsmes gads≠ | 2024 | 2022 | 2022 |
| Autors≠ | Demir, G., Ulusoy, S. K. | Zdravković, M., Hamid, M., Radovanović, M. | Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P. |
| Tips≠ | Weight_Subjective (linguistic-TFN expert weighting; envelope/slope ratio on TFN accumulation polyline) | Two-step normalisation (linear + vector) with weighted power aggregation | Distance from PIS/NIS/AS (Euclidean × Taxicab combined) |
| Pirmavots≠ | Demir, G., Ulusoy, S. K. (2024). Bulanık WENSLO Yöntemi ile Kriter Ağırlıklarının Belirlenmesi: Dijital Bankacılık Uygulaması. Computer and Decision Making — An International Journal link ↗ | Zdravković, M., Hamid, M., Radovanović, M. (2022). AROMAN — Alternative Ranking Order Method Accounting for Two-Step Normalisation. Journal of Computational Design and Engineering link ↗ | Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P. (2022). A Novel Axiomatic DEA-COBRA Framework for Evaluating the Sustainable Performance of Agri-Food Systems. Sustainability link ↗ |
| Citi nosaukumi | — | — | — |
| Saistītās | 8 | 8 | 8 |
| Kopsavilkums≠ | B-WENSLO (Fuzzy WEight deNomination based on Slope coefficient (triangular fuzzy extension)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Demir, G., Ulusoy, S. K. in 2024. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | AROMAN (Alternative Ranking Order Method Accounting for Two-Step Normalisation) is a ranking multi-criteria decision-making (MCDM) method introduced by Zdravković, M., Hamid, M., Radovanović, M. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | COBRA (COmprehensive distance Based RAnking) is a ranking multi-criteria decision-making (MCDM) method introduced by Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateDatu kopa ↗ |
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