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Z-Number Fuzzy Logarithm Methodology of Additive Weights×Z-Zahl-Fuzzy-Kompromiss-Rangordnung vom Abstand zur Ideallösung×
FachgebietEntscheidungsfindungEntscheidungsfindung
FamilieMCDMMCDM
Entstehungsjahr20222022
UrheberPuška, A. Božanić, D. Nedeljković, M. Janošević, M.Puška, A. Božanić, D. Nedeljković, M. Janošević, M.
TypLogarithmic anti-ideal weighting under Z-number uncertainty with group aggregationCompromise ranking via distance to ideal/anti-ideal under Z-number uncertainty
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 ↗Puška, 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 ↗
Aliasnamen
Verwandt88
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.ZF-CRADIS (Z-Number Fuzzy Compromise Ranking from Distance to Ideal Solution) is a ranking 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.
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ScholarGateMethoden vergleichen: ZF-LMAW · ZF-CRADIS. Abgerufen am 2026-06-18 von https://scholargate.app/de/compare