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Rough-ARAS×CRiteria Importance Through Intercriteria Correlation×
CampPresa de decisionsPresa de decisions
FamíliaMCDMMCDM
Any d'origen20211995
Autor originalDaoud Ben Amor, W., Moalla Frikha, H., Martínez López, L.Diakoulaki, D., Mavrotas, G., Papayannakis, L.
TipusRough outranking/ranking — Rough number (lower approximation L, upper approximation U)Statistical contrast intensity + correlation-based objective weighting
Font seminalDaoud 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 ↗
Àlies
Relacionats88
ResumROUGH-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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ScholarGateCompara mètodes: ROUGH-ARAS · CRITIC. Recuperat el 2026-06-17 de https://scholargate.app/ca/compare