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ROUGH-MARCOS×Kriteriekorrelasjon og standardavvik objektiv vektlegging×
FagfeltBeslutningstakingBeslutningstaking
FamilieMCDMMCDM
Opprinnelsesår20222010
OpphavspersonMatić, B. Marinković, M. Jovanović, S. Sremac, S. Stević, Ž.Wang, Y. M., Luo, Y.
TypeRough outranking/ranking — Rough number (lower approximation L, upper approximation U)Correlation-penalised standard-deviation weighting
Opprinnelig kildeMatić, B., Marinković, M., Jovanović, S., Sremac, S., Stević, Ž. (2022). Intelligent Novel IMF D-SWARA—Rough MARCOS Algorithm for Selection Construction Machinery for Sustainable Construction of Road Infrastructure. Buildings 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 ↗
Alias
Relaterte88
SammendragROUGH-MARCOS (Rough-MARCOS — Rough extension of MARCOS) is a ranking multi-criteria decision-making (MCDM) method introduced by Matić, B. Marinković, M. Jovanović, S. Sremac, S. Stević, Ž. in 2022. 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.
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ScholarGateSammenlign metoder: ROUGH-MARCOS · CCSD. Hentet 2026-06-17 fra https://scholargate.app/no/compare