ScholarGate
Assistente

Confronta i metodi

Esamina i metodi selezionati fianco a fianco; le righe che differiscono sono evidenziate.

Metodologia del Logaritmo Fuzzy dei Pesi Additivi con Z-Number×WASPAS Fuzzy×
CampoProcesso decisionaleProcesso decisionale
FamigliaMCDMMCDM
Anno di origine20222015
IdeatorePuška, A. Božanić, D. Nedeljković, M. Janošević, M.Turskis, Z., Zavadskas, E.K., Antucheviciene, J., Kosareva, N.
TipoLogarithmic anti-ideal weighting under Z-number uncertainty with group aggregationFuzzy outranking/ranking — Triangular Fuzzy Number (TFN: l, m, u)
Fonte seminalePuška, 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., Antucheviciene, J., Kosareva, N. (2015). A Hybrid Model Based on Fuzzy AHP and Fuzzy WASPAS for Construction Site Selection. International Journal of Computers Communications & Control DOI ↗
Alias
Correlati82
SintesiZF-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-WASPAS (Fuzzy WASPAS — Fuzzy extension of WASPAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Turskis, Z., Zavadskas, E.K., Antucheviciene, J., Kosareva, N. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGateInsieme di dati
  1. v1
  2. 1 Fonti
  3. PUBLISHED
  1. v1
  2. 1 Fonti
  3. PUBLISHED

Vai alla ricerca Scarica le diapositive

ScholarGateConfronta i metodi: ZF-LMAW · FUZZY-WASPAS. Consultato il 2026-06-17 da https://scholargate.app/it/compare