ScholarGate
Assistent

Võrdle meetodeid

Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.

Z-arvude häguslogaritmide metodoloogia liitkaaludele×Z-arvu laiendusega TOPSIS×
ValdkondOtsustamineOtsustamine
PerekondMCDMMCDM
Tekkeaasta20222018
LoojaPuška, A. Božanić, D. Nedeljković, M. Janošević, M.Gardashova, L. A.
TüüpLogarithmic anti-ideal weighting under Z-number uncertainty with group aggregationZ-Number outranking/ranking — Z-Number (Z = (A, B): restriction A, reliability B; both fuzzy)
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 ↗Gardashova, L. A. (2018). Z-Number Based TOPSIS Method in Multi-Criteria Decision Making. Advances in Intelligent Systems and Computing DOI ↗
Rööpnimetused
Seotud88
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.Z-TOPSIS (Z-Number extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Gardashova, L. A. in 2018. 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 · Z-TOPSIS. Loetud 2026-06-18 aadressilt https://scholargate.app/et/compare