ScholarGate
Assistent

Võrdle meetodeid

Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.

Logaritmi meetod aditiivsete kaaludega×Kriteeriumide korrelatsiooni ja standardhälbe objektiivne kaalutamine×
ValdkondOtsustamineOtsustamine
PerekondMCDMMCDM
Tekkeaasta20212010
LoojaPamučar, D., Žižović, M., Biswas, S., Božanić, D.Wang, Y. M., Luo, Y.
TüüpLogarithm-based additive weightingCorrelation-penalised standard-deviation weighting
AlgallikasPamučar, 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 ↗Wang, Y. M., Luo, Y. (2010). Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Mathematical and Computer Modelling DOI ↗
Rööpnimetused
Seotud88
KokkuvõteLMAW (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.CCSD (Criteria Correlation and Standard Deviation objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Wang, Y. M., Luo, Y. in 2010. 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: LMAW · CCSD. Loetud 2026-06-17 aadressilt https://scholargate.app/et/compare