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Linguïstische extensie van L2T-COPRAS×Objectieve weging van criteria op basis van correlatie en standaarddeviatie×
VakgebiedBesluitvormingBesluitvorming
FamilieMCDMMCDM
Jaar van ontstaan20212010
GrondleggerGai, T., Cao, M., Cao, Q., Wu, J., Yu, G., Zhou, M.Wang, Y. M., Luo, Y.
TypeLinguistic outranking/ranking — 2-Tuple Linguistic Variable (2TL: (s_i, α))Correlation-penalised standard-deviation weighting
Oorspronkelijke bronGai, T., Cao, M., Cao, Q., Wu, J., Yu, G., Zhou, M. (2021). An integrated method for hybrid distribution with estimation of demand matching degree (interval 2-tuple linguistic COPRAS). link ↗Wang, Y. M., Luo, Y. (2010). Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Mathematical and Computer Modelling DOI ↗
Aliassen
Verwant88
SamenvattingL2T-COPRAS (Linguistic extension of L2T-COPRAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Gai, T., Cao, M., Cao, Q., Wu, J., Yu, G., Zhou, M. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.CCSD (Criteria Correlation and Standard Deviation objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Wang, Y. M., Luo, Y. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateMethoden vergelijken: L2T-COPRAS · CCSD. Geraadpleegd op 2026-06-17 via https://scholargate.app/nl/compare