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Dual Hesitant Fuzzy-udvidelse af TOPSIS×Kriterie-vigtighed gennem interkriterie-korrelation×
FagområdeBeslutningstagningBeslutningstagning
FamilieMCDMMCDM
Oprindelsesår20201995
OphavspersonWang, R., Li, W., Zhang, T., Han, Q.Diakoulaki, D., Mavrotas, G., Papayannakis, L.
TypeDual Hesitant outranking/ranking — Dual Hesitant Fuzzy Element (DHFE: h(x) membership set, g(x) non-membership set)Statistical contrast intensity + correlation-based objective weighting
Oprindelig kildeWang, R., Li, W., Zhang, T., Han, Q. (2020). New Distance Measures for Dual Hesitant Fuzzy Sets and Their Application to Multiple Attribute Decision Making. Symmetry DOI ↗Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research DOI ↗
Aliasser
Relaterede88
ResuméDHF-TOPSIS (Dual Hesitant Fuzzy extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Wang, R., Li, W., Zhang, T., Han, Q. in 2020. 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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ScholarGateSammenlign metoder: DHF-TOPSIS · CRITIC. Hentet 2026-06-18 fra https://scholargate.app/da/compare