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COPRAS-IN×CRiteria Importance Through Intercriteria Correlation×
DziedzinaPodejmowanie decyzjiPodejmowanie decyzji
RodzinaMCDMMCDM
Rok powstania20191995
TwórcaŞahin, R.Diakoulaki, D., Mavrotas, G., Papayannakis, L.
TypInterval Neutrosophic ranking — INN: <[T_L,T_U],[I_L,I_U],[F_L,F_U]> with 0 ≤ T_U+I_U+F_U ≤ 3Statistical contrast intensity + correlation-based objective weighting
Źródło pierwotneŞahin, R. (2019). COPRAS Method with Neutrosophic Sets. Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets, Studies in Fuzziness and Soft Computing, vol 369, Springer, Cham DOI ↗Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research DOI ↗
Inne nazwy
Pokrewne78
PodsumowanieN-COPRAS (COPRAS-IN — COPRAS with Interval Neutrosophic Numbers (INN)) is a ranking multi-criteria decision-making (MCDM) method introduced by Şahin, R. in 2019. 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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ScholarGatePorównaj metody: N-COPRAS · CRITIC. Pobrano 2026-06-17 z https://scholargate.app/pl/compare