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Dual Hesitant Fuzzy -TOPSIS-menetelmä×Kriteerivaikutuksen menetys -painotusmenetelmä×
TieteenalaPäätöksentekoPäätöksenteko
MenetelmäperheMCDMMCDM
Syntyvuosi20202016
KehittäjäWang, R., Li, W., Zhang, T., Han, Q.Zavadskas, E. K., Podvezko, V.
TyyppiDual Hesitant outranking/ranking — Dual Hesitant Fuzzy Element (DHFE: h(x) membership set, g(x) non-membership set)Relative criterion-loss matrix weighting (Mirkin theorem based)
AlkuperäislähdeWang, 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 ↗Zavadskas, E. K., Podvezko, V. (2016). Integrated Determination of Objective Criteria Weights in MCDM. International Journal of Information Technology & Decision Making DOI ↗
Rinnakkaisnimet
Liittyvät88
TiivistelmäDHF-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.CILOS (Criterion Impact LOSs objective weighting method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Podvezko, V. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateVertaile menetelmiä: DHF-TOPSIS · CILOS. Haettu 2026-06-18 osoitteesta https://scholargate.app/fi/compare