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Proširenje TOPSIS-a s dvostrukim neodlučnim skupovima×Korelacijski kriteriji i standardna devijacija objektivnog ponderiranja×
PodručjeDonošenje odlukaDonošenje odluka
ObiteljMCDMMCDM
Godina nastanka20202010
TvoracWang, R., Li, W., Zhang, T., Han, Q.Wang, Y. M., Luo, Y.
VrstaDual Hesitant outranking/ranking — Dual Hesitant Fuzzy Element (DHFE: h(x) membership set, g(x) non-membership set)Correlation-penalised standard-deviation weighting
Temeljni izvorWang, 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 ↗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 ↗
Drugi nazivi
Srodne88
SažetakDHF-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.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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ScholarGateUsporedite metode: DHF-TOPSIS · CCSD. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare