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Ordered Weighted Averaging adaptatif au voisinage×Analyse des rapports d'évaluation pondérée par étapes×
DomainePrise de décisionPrise de décision
FamilleMCDMMCDM
Année d'origine20142010
Auteur d'origineMalczewski, J.; Liu, X.Keršulienė, V., Zavadskas, E. K., Turskis, Z.
TypeRange-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 everywhereSequential step-ratio subjective weighting
Source fondatriceMalczewski, 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 ↗
Alias
Apparentées88
RésuméLOCAL-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.
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ScholarGateComparer des méthodes: LOCAL-OWA · SWARA. Consulté le 2026-06-19 sur https://scholargate.app/fr/compare