Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| naaberpiirkonnast sõltuv järjestatud kaalutud keskmine× | Parim-Halvim Meetod× | |
|---|---|---|
| Valdkond | Otsustamine | Otsustamine |
| Perekond | MCDM | MCDM |
| Tekkeaasta≠ | 2014 | 2015 |
| Looja≠ | Malczewski, J.; Liu, X. | Rezaei, J. |
| Tüüp≠ | Range-sensitive neighbourhood-local OWA — criterion weights w^q_k scale with local criterion variance within each spatial neighbourhood; order weights λ_k remain global, encoding a single risk attitude applied everywhere | Pairwise comparison (best-to-others + others-to-worst vectors), LP |
| Algallikas≠ | Malczewski, J., Liu, X. (2014). Local ordered weighted averaging in GIS-based multicriteria analysis. Annals of GIS DOI ↗ | Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega DOI ↗ |
| Rööpnimetused | — | — |
| Seotud | 8 | 8 |
| Kokkuvõte≠ | LOCAL-OWA (neighbourhood-adaptive Ordered Weighted Averaging) is a ranking multi-criteria decision-making (MCDM) method introduced by Malczewski, J.; Liu, X. in 2014. 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. |
| ScholarGateAndmestik ↗ |
|
|