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Estensione Dual Hesitant Fuzzy di EDAS×Importanza dei Criteri Attraverso la Correlazione Intercriteriale×
CampoProcesso decisionaleProcesso decisionale
FamigliaMCDMMCDM
Anno di origine20231995
IdeatoreNing, B., Lin, R., Wei, G., Chen, X.Diakoulaki, D., Mavrotas, G., Papayannakis, L.
TipoDual Hesitant outranking/ranking — Dual Hesitant Fuzzy Element (DHFE: h(x) membership set, g(x) non-membership set)Statistical contrast intensity + correlation-based objective weighting
Fonte seminaleNing, 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 ↗Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research DOI ↗
Alias
Correlati88
SintesiDHF-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.CRITIC (CRiteria Importance Through Intercriteria Correlation) is a weight objective multi-criteria decision-making (MCDM) method introduced by Diakoulaki, D., Mavrotas, G., Papayannakis, L. in 1995. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateConfronta i metodi: DHF-EDAS · CRITIC. Consultato il 2026-06-17 da https://scholargate.app/it/compare