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Extensia Dual Hesitant Fuzzy a EDAS×Corelația criteriilor și ponderarea obiectivă a deviației standard×
DomeniuLuarea deciziilorLuarea deciziilor
FamilieMCDMMCDM
Anul apariției20232010
Autorul originalNing, B., Lin, R., Wei, G., Chen, X.Wang, Y. M., Luo, Y.
TipDual Hesitant outranking/ranking — Dual Hesitant Fuzzy Element (DHFE: h(x) membership set, g(x) non-membership set)Correlation-penalised standard-deviation weighting
Sursa seminalăNing, 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 ↗
Denumiri alternative
Înrudite88
RezumatDHF-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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ScholarGateCompară metode: DHF-EDAS · CCSD. Preluat la 2026-06-17 de pe https://scholargate.app/ro/compare