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Z-Number Fuzzy Logarithm Methodology of Additive Weights×Fuzzy ARAS×
FachgebietEntscheidungsfindungEntscheidungsfindung
FamilieMCDMMCDM
Entstehungsjahr20222010
UrheberPuška, A. Božanić, D. Nedeljković, M. Janošević, M.Turskis, Z., Zavadskas, E. K.
TypLogarithmic anti-ideal weighting under Z-number uncertainty with group aggregationFuzzy outranking/ranking — Triangular Fuzzy Number (TFN: l, m, u)
Wegweisende QuellePuška, A., Božanić, D., Nedeljković, M., Janošević, M. (2022). Green Supplier Selection in an Uncertain Environment in Agriculture Using a Hybrid MCDM Model: Z-Numbers–Fuzzy LMAW–Fuzzy CRADIS Model. Axioms DOI ↗Turskis, Z., Zavadskas, E. K. (2010). A new fuzzy additive ratio assessment method (ARAS–F). Case study: the analysis of fuzzy multiple criteria in order to select the logistic centers location. Transport DOI ↗
Aliasnamen
Verwandt82
ZusammenfassungZF-LMAW (Z-Number Fuzzy Logarithm Methodology of Additive Weights) is a weighting multi-criteria decision-making (MCDM) method introduced by Puška, A. Božanić, D. Nedeljković, M. Janošević, M. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.FUZZY-ARAS (Fuzzy ARAS — Fuzzy extension of ARAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Turskis, Z., Zavadskas, E. K. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateMethoden vergleichen: ZF-LMAW · FUZZY-ARAS. Abgerufen am 2026-06-17 von https://scholargate.app/de/compare