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Kahekordne kõhkleva udususe TOPSIS laiendus×Kriteeriumide tähtsus interkriteeriumite korrelatsiooni kaudu×
ValdkondOtsustamineOtsustamine
PerekondMCDMMCDM
Tekkeaasta20201995
LoojaWang, R., Li, W., Zhang, T., Han, Q.Diakoulaki, D., Mavrotas, G., Papayannakis, L.
TüüpDual Hesitant outranking/ranking — Dual Hesitant Fuzzy Element (DHFE: h(x) membership set, g(x) non-membership set)Statistical contrast intensity + correlation-based objective weighting
AlgallikasWang, 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 ↗
Rööpnimetused
Seotud88
KokkuvõteDHF-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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ScholarGateVõrdle meetodeid: DHF-TOPSIS · CRITIC. Loetud 2026-06-18 aadressilt https://scholargate.app/et/compare