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Lingvistické rozšírenie L2T-COPRAS×Objektívne váženie pomocou korelácie kritérií a smerodajnej odchýlky×
OdborRozhodovanieRozhodovanie
RodinaMCDMMCDM
Rok vzniku20212010
TvorcaGai, T., Cao, M., Cao, Q., Wu, J., Yu, G., Zhou, M.Wang, Y. M., Luo, Y.
TypLinguistic outranking/ranking — 2-Tuple Linguistic Variable (2TL: (s_i, α))Correlation-penalised standard-deviation weighting
Pôvodný zdrojGai, 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 ↗
Ďalšie názvy
Príbuzné88
ZhrnutieL2T-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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ScholarGatePorovnať metódy: L2T-COPRAS · CCSD. Získané 2026-06-18 z https://scholargate.app/sk/compare