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Rough-MARCOS×Corelația criteriilor și ponderarea obiectivă a deviației standard×
DomeniuLuarea deciziilorLuarea deciziilor
FamilieMCDMMCDM
Anul apariției20222010
Autorul originalMatić, B. Marinković, M. Jovanović, S. Sremac, S. Stević, Ž.Wang, Y. M., Luo, Y.
TipRough outranking/ranking — Rough number (lower approximation L, upper approximation U)Correlation-penalised standard-deviation weighting
Sursa seminalăMatić, 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 ↗
Denumiri alternative
Înrudite88
RezumatROUGH-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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ScholarGateCompară metode: ROUGH-MARCOS · CCSD. Preluat la 2026-06-17 de pe https://scholargate.app/ro/compare