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Linguïstische extensie van L2T-SAW×Beste-Worst Methode×
VakgebiedBesluitvormingBesluitvorming
FamilieMCDMMCDM
Jaar van ontstaan20182015
GrondleggerCid-López, A., Hornos, M. J., Carrasco, R. A., Herrera-Viedma, E.Rezaei, J.
TypeLinguistic outranking/ranking — 2-Tuple Linguistic Variable (2TL: (s_i, α))Pairwise comparison (best-to-others + others-to-worst vectors), LP
Oorspronkelijke bronCid-López, A., Hornos, M. J., Carrasco, R. A., Herrera-Viedma, E. (2018). Prioritization of the launch of ICT products and services through linguistic multi-criteria decision-making (2-tuple SAW). Technological and Economic Development of Economy DOI ↗Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega DOI ↗
Aliassen
Verwant88
SamenvattingL2T-SAW (Linguistic extension of L2T-SAW) is a ranking multi-criteria decision-making (MCDM) method introduced by Cid-López, A., Hornos, M. J., Carrasco, R. A., Herrera-Viedma, E. in 2018. 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.
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ScholarGateMethoden vergelijken: L2T-SAW · BWM. Geraadpleegd op 2026-06-18 via https://scholargate.app/nl/compare