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Komplexe Erweiterung von EDAS×Kriteriengewichtung mittels Korrelation und Standardabweichung×
FachgebietEntscheidungsfindungEntscheidungsfindung
FamilieMCDMMCDM
Entstehungsjahr20022010
UrheberRamot, D. Milo, R. Friedman, M. Kandel, A.Wang, Y. M., Luo, Y.
TypComplex outranking/ranking — Complex Fuzzy Set (CFS: amplitude r ∈ [0,1], phase ω ∈ [0,2π])Correlation-penalised standard-deviation weighting
Wegweisende QuelleRamot, D., Milo, R., Friedman, M., Kandel, A. (2002). Complex fuzzy sets. IEEE Transactions on Fuzzy Systems 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 ↗
Aliasnamen
Verwandt88
ZusammenfassungCF-EDAS (Complex extension of EDAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Ramot, D. Milo, R. Friedman, M. Kandel, A. in 2002. 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 vergleichen: CF-EDAS · CCSD. Abgerufen am 2026-06-15 von https://scholargate.app/de/compare