ScholarGate
Asistent

Compară metode

Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.

Metodologia logaritmică a ponderilor aditive×BWM Bayesian×
DomeniuLuarea deciziilorLuarea deciziilor
FamilieMCDMMCDM
Anul apariției20212020
Autorul originalPamučar, D., Žižović, M., Biswas, S., Božanić, D.Mohammadi, M., Rezaei, J.
TipLogarithm-based additive weightingHierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Sursa seminalăPamučar, D., Žižović, M., Biswas, S., Božanić, D. (2021). A new logarithm methodology of additive weights (LMAW) for multi-criteria decision-making: Application in logistics. Facta Universitatis, Series: Mechanical Engineering DOI ↗Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
Denumiri alternative
Înrudite88
RezumatLMAW (Logarithm Methodology of Additive Weights) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D., Žižović, M., Biswas, S., Božanić, D. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.BWM-BAYESIAN (Bayesian BWM — Probabilistic Group Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Mohammadi, M., Rezaei, J. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGateSet de date
  1. v1
  2. 1 Surse
  3. PUBLISHED
  1. v1
  2. 1 Surse
  3. PUBLISHED

Mergi la căutare Descarcă prezentarea

ScholarGateCompară metode: LMAW · BWM-BAYESIAN. Preluat la 2026-06-17 de pe https://scholargate.app/ro/compare