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Duálne rozšírenie EDAS s váhavými fuzzy množinami×Objektívne váženie pomocou korelácie kritérií a smerodajnej odchýlky×
OdborRozhodovanieRozhodovanie
RodinaMCDMMCDM
Rok vzniku20232010
TvorcaNing, B., Lin, R., Wei, G., Chen, X.Wang, Y. M., Luo, Y.
TypDual Hesitant outranking/ranking — Dual Hesitant Fuzzy Element (DHFE: h(x) membership set, g(x) non-membership set)Correlation-penalised standard-deviation weighting
Pôvodný zdrojNing, B., Lin, R., Wei, G., Chen, X. (2023). EDAS method for multiple attribute group decision making with probabilistic dual hesitant fuzzy information and its application to suppliers selection. Technological and Economic Development of Economy 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 ↗
Ďalšie názvy
Príbuzné88
ZhrnutieDHF-EDAS (Dual Hesitant Fuzzy extension of EDAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Ning, B., Lin, R., Wei, G., Chen, X. in 2023. 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: DHF-EDAS · CCSD. Získané 2026-06-18 z https://scholargate.app/sk/compare