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Rough-ARAS×CRiteria Importance Through Intercriteria Correlation×
VakgebiedBesluitvormingBesluitvorming
FamilieMCDMMCDM
Jaar van ontstaan20211995
GrondleggerDaoud Ben Amor, W., Moalla Frikha, H., Martínez López, L.Diakoulaki, D., Mavrotas, G., Papayannakis, L.
TypeRough outranking/ranking — Rough number (lower approximation L, upper approximation U)Statistical contrast intensity + correlation-based objective weighting
Oorspronkelijke bronDaoud Ben Amor, W., Moalla Frikha, H., Martínez López, L. (2021). The Interval Rough Number of the Extended ARAS Method for Solving Multi-Criteria Group Decision Making. 2021 International Conference on Decision Aid Sciences and Application (DASA) DOI ↗Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research DOI ↗
Aliassen
Verwant88
SamenvattingROUGH-ARAS (Rough-ARAS — Rough extension of ARAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Daoud Ben Amor, W., Moalla Frikha, H., Martínez López, L. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.CRITIC (CRiteria Importance Through Intercriteria Correlation) is a weight objective multi-criteria decision-making (MCDM) method introduced by Diakoulaki, D., Mavrotas, G., Papayannakis, L. in 1995. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateMethoden vergelijken: ROUGH-ARAS · CRITIC. Geraadpleegd op 2026-06-18 via https://scholargate.app/nl/compare