Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Локально-адаптивное взвешенное упорядоченное усреднение× | Поэтапный анализ коэффициентов весовых оценок× | |
|---|---|---|
| Область | Принятие решений | Принятие решений |
| Семейство | MCDM | MCDM |
| Год появления≠ | 2014 | 2010 |
| Автор метода≠ | Malczewski, J.; Liu, X. | Keršulienė, V., Zavadskas, E. K., Turskis, Z. |
| Тип≠ | 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 | Sequential step-ratio subjective weighting |
| Основополагающий источник≠ | Malczewski, J., Liu, X. (2014). Local ordered weighted averaging in GIS-based multicriteria analysis. Annals of GIS DOI ↗ | Keršulienė, V., Zavadskas, E. K., Turskis, Z. (2010). Selection of rational dispute resolution method by applying new step-wise weight assessment ratio analysis (SWARA). Journal of Business Economics and Management DOI ↗ |
| Другие названия | — | — |
| Связанные | 8 | 8 |
| Сводка≠ | 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. | SWARA (Step-Wise Weight Assessment Ratio Analysis) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Keršulienė, V., Zavadskas, E. K., Turskis, Z. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateНабор данных ↗ |
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