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2-Tuplig Lingvistisk Neutrosophisk EDAS×Kriteriekorrelation och standardavvikelse objektiv viktning×
ÄmnesområdeBeslutsfattandeBeslutsfattande
FamiljMCDMMCDM
Ursprungsår20192010
UpphovspersonWang, P., Wang, J., Wei, G.Wang, Y. M., Luo, Y.
TypLinguistic outranking/ranking — 2-Tuple Linguistic Variable (2TL: (s_i, α))Correlation-penalised standard-deviation weighting
UrsprungskällaKeshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., & Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica, 26(3), 435-451. [Canonical EDAS source; cited in place of the retracted Wang et al. (2019) 2-tuple linguistic neutrosophic EDAS paper, doi:10.3233/JIFS-179223.] DOI ↗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 ↗
Alias
Närliggande88
SammanfattningL2T-EDAS (2-Tuple Linguistic Neutrosophic EDAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Wang, P., Wang, J., Wei, G. in 2019. 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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ScholarGateJämför metoder: L2T-EDAS · CCSD. Hämtad 2026-06-18 från https://scholargate.app/sv/compare