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Dual Hesitant Fuzzy utvidelse av EDAS

DHF-EDAS (Dual Hesitant Fuzzy utvidelse av EDAS) er en rangeringsmetode for multi-kriteriebeslutningstaking (MCDM) introdusert av Ning, B., Lin, R., Wei, G., Chen, X. i 2023. Den omgjør en beslutningsmatrise av alternativer vurdert på flere kriterier til et strukturert, reproduserbart resultat.

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  1. Ning, 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: 10.3846/tede.2023.17589

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ScholarGate. (2026, June 2). Dual Hesitant Fuzzy extension of EDAS. ScholarGate. https://scholargate.app/no/decision-making/dhf-edas

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ScholarGateDHF-EDAS (Dual Hesitant Fuzzy extension of EDAS). Hentet 2026-06-15 fra https://scholargate.app/no/decision-making/dhf-edas · Datasett: https://doi.org/10.5281/zenodo.20539026