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Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.

Spatial Ordered Weighted Averaging×Methode gebaseerd op de Verwijderingseffecten van Criteria×
VakgebiedBesluitvormingBesluitvorming
FamilieMCDMMCDM
Jaar van ontstaan2003/20062021
GrondleggerMakropoulos, C. K.; Butler, D.Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z.
TypeZone-stratified OWA — order weights λ_k vary per spatial zone, encoding spatially heterogeneous risk attitudes (ORness) while criterion weights w_k remain globalRemoval-effect objective weighting (logarithmic utility)
Oorspronkelijke bronMakropoulos, C. K., Butler, D. (2006). Spatial ordered weighted averaging: incorporating spatially variable attitude towards risk in spatial multi-criteria decision-making. Environmental Modelling & Software DOI ↗Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z. (2021). Determination of objective weights using a new method based on the removal effects of criteria (MEREC). Informatica DOI ↗
Aliassen
Verwant88
SamenvattingSOWA (Spatial Ordered Weighted Averaging) is a ranking multi-criteria decision-making (MCDM) method introduced by Makropoulos, C. K.; Butler, D. in 2003/2006. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.MEREC (MEthod based on the Removal Effects of Criteria) is a weight objective multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateMethoden vergelijken: SOWA · MEREC. Geraadpleegd op 2026-06-17 via https://scholargate.app/nl/compare