ScholarGate
Assistent

Võrdle meetodeid

Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.

Z-arvude häguslogaritmide metodoloogia liitkaaludele×Fuzzy WASPAS×
ValdkondOtsustamineOtsustamine
PerekondMCDMMCDM
Tekkeaasta20222015
LoojaPuška, A. Božanić, D. Nedeljković, M. Janošević, M.Turskis, Z., Zavadskas, E.K., Antucheviciene, J., Kosareva, N.
TüüpLogarithmic anti-ideal weighting under Z-number uncertainty with group aggregationFuzzy outranking/ranking — Triangular Fuzzy Number (TFN: l, m, u)
AlgallikasPuška, 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 ↗
Rööpnimetused
Seotud82
KokkuvõteZF-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.
ScholarGateAndmestik
  1. v1
  2. 1 Allikad
  3. PUBLISHED
  1. v1
  2. 1 Allikad
  3. PUBLISHED

Mine otsingusse Laadi slaidid alla

ScholarGateVõrdle meetodeid: ZF-LMAW · FUZZY-WASPAS. Loetud 2026-06-18 aadressilt https://scholargate.app/et/compare