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امتداد EDAS الضمني المزدوج المتردد (Dual Hesitant Fuzzy extension of EDAS)×معامل الارتباط والانحراف المعياري لترجيح المعايير بموضوعية×
المجالاتخاذ القراراتخاذ القرار
العائلةMCDMMCDM
سنة النشأة20232010
صاحب الطريقةNing, B., Lin, R., Wei, G., Chen, X.Wang, Y. M., Luo, Y.
النوعDual Hesitant outranking/ranking — Dual Hesitant Fuzzy Element (DHFE: h(x) membership set, g(x) non-membership set)Correlation-penalised standard-deviation weighting
المصدر التأسيسيNing, 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 ↗
الأسماء البديلة
ذات صلة88
الملخصDHF-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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ScholarGateقارن الطرق: DHF-EDAS · CCSD. استُرجع بتاريخ 2026-06-17 من https://scholargate.app/ar/compare