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Rough-COPRAS×Pondération des critères par corrélation inter-critères×
DomainePrise de décisionPrise de décision
FamilleMCDMMCDM
Année d'origine20181995
Auteur d'originePamučar, D. Božanić, D. Lukovac, V. Komazec, N.Diakoulaki, D., Mavrotas, G., Papayannakis, L.
TypeRough outranking/ranking — Rough number (lower approximation L, upper approximation U)Statistical contrast intensity + correlation-based objective weighting
Source fondatricePamučar, D., Božanić, D., Lukovac, V., Komazec, N. (2018). Normalized weighted geometric Bonferroni mean operator of interval rough numbers – application in interval rough DEMATEL-COPRAS model. Facta Universitatis Series: Mechanical Engineering DOI ↗Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research DOI ↗
Alias
Apparentées88
RésuméROUGH-COPRAS (Rough-COPRAS — Rough extension of COPRAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D. Božanić, D. Lukovac, V. Komazec, N. in 2018. 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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ScholarGateComparer des méthodes: ROUGH-COPRAS · CRITIC. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare