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Dual Hesitant Fuzzy-uitbreiding van TOPSIS×CILOS (Criterion Impact LOSs objective weighting method)×
VakgebiedBesluitvormingBesluitvorming
FamilieMCDMMCDM
Jaar van ontstaan20202016
GrondleggerWang, R., Li, W., Zhang, T., Han, Q.Zavadskas, E. K., Podvezko, V.
TypeDual 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)
Oorspronkelijke bronWang, 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 ↗
Aliassen
Verwant88
SamenvattingDHF-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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  1. v1
  2. 1 Bronnen
  3. PUBLISHED

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ScholarGateMethoden vergelijken: DHF-TOPSIS · CILOS. Geraadpleegd op 2026-06-18 via https://scholargate.app/nl/compare