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LOgarithmic Percentage Change-driven Objective Weighting×Vaihtoehtojen järjestysmenetelmä, jossa huomioidaan kaksivaiheinen normalisointi×
TieteenalaPäätöksentekoPäätöksenteko
MenetelmäperheMCDMMCDM
Syntyvuosi20222022
KehittäjäEcer, F., Pamučar, D.Zdravković, M., Hamid, M., Radovanović, M.
TyyppiLogarithmic percentage change variance-based objective weightingTwo-step normalisation (linear + vector) with weighted power aggregation
AlkuperäislähdeEcer, F., Pamučar, D. (2022). A novel LOPCOW-DOBI integrated sustainability performance evaluation methodology: An application in developing country banking sector. Omega DOI ↗Zdravković, M., Hamid, M., Radovanović, M. (2022). AROMAN — Alternative Ranking Order Method Accounting for Two-Step Normalisation. Journal of Computational Design and Engineering link ↗
Rinnakkaisnimet
Liittyvät88
TiivistelmäLOPCOW (LOgarithmic Percentage Change-driven Objective Weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Ecer, F., Pamučar, D. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.AROMAN (Alternative Ranking Order Method Accounting for Two-Step Normalisation) is a ranking multi-criteria decision-making (MCDM) method introduced by Zdravković, M., Hamid, M., Radovanović, M. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateVertaile menetelmiä: LOPCOW · AROMAN. Haettu 2026-06-19 osoitteesta https://scholargate.app/fi/compare