Vertaile menetelmiä
Tarkastele valitsemiasi menetelmiä rinnakkain; eroavat rivit korostetaan.
| neighbourhood-adaptive Ordered Weighted Averaging× | Paras-Huonoin -menetelmä× | |
|---|---|---|
| Tieteenala | Päätöksenteko | Päätöksenteko |
| Menetelmäperhe | MCDM | MCDM |
| Syntyvuosi≠ | 2014 | 2015 |
| Kehittäjä≠ | Malczewski, J.; Liu, X. | Rezaei, J. |
| Tyyppi≠ | 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 |
| Alkuperäislähde≠ | 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 ↗ |
| Rinnakkaisnimet | — | — |
| Liittyvät | 8 | 8 |
| Tiivistelmä≠ | 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. |
| ScholarGateAineisto ↗ |
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