ScholarGate
Asistent

Compară metode

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

Evaluare bazată pe distanța față de soluția medie×Metodologia logaritmică a ponderilor aditive×
DomeniuLuarea deciziilorLuarea deciziilor
FamilieMCDMMCDM
Anul apariției20152021
Autorul originalKeshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z.Pamučar, D., Žižović, M., Biswas, S., Božanić, D.
TipDistance from average solutionLogarithm-based additive weighting
Sursa seminalăKeshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica DOI ↗Pamučar, 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 ↗
Denumiri alternative
Înrudite88
RezumatEDAS (Evaluation Based on Distance from Average Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.LMAW (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.
ScholarGateSet de date
  1. v1
  2. 1 Surse
  3. PUBLISHED
  1. v1
  2. 1 Surse
  3. PUBLISHED

Mergi la căutare Descarcă prezentarea

ScholarGateCompară metode: EDAS · LMAW. Preluat la 2026-06-19 de pe https://scholargate.app/ro/compare