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Intuitionistyczny trójkątny liczb zespolonych CODAS (Daami Remadi & Frikha 2023)×Metoda Najlepszego i Najgorszego (Best-Worst Method)×CRiteria Importance Through Intercriteria Correlation×
DziedzinaPodejmowanie decyzjiPodejmowanie decyzjiPodejmowanie decyzji
RodzinaMCDMMCDMMCDM
Rok powstania198620151995
TwórcaAtanassov, K. T.Rezaei, J.Diakoulaki, D., Mavrotas, G., Papayannakis, L.
TypCombinative Distance-based Assessment under Triangular Intuitionistic Fuzzy uncertainty (TIFN: {(a1,a2,a3); (a'1,a2,a'3)}; a'1 ≤ a1 ≤ a2 ≤ a3 ≤ a'3) — MCGDM with linguistic-to-TIFN translationPairwise comparison (best-to-others + others-to-worst vectors), LPStatistical contrast intensity + correlation-based objective weighting
Źródło pierwotneAtanassov, K. T. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems DOI ↗Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega DOI ↗Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research DOI ↗
Inne nazwy
Pokrewne888
PodsumowanieTIFN-CODAS (Triangular Intuitionistic Fuzzy Number CODAS (Daami Remadi & Frikha 2023)) is a ranking multi-criteria decision-making (MCDM) method introduced by Atanassov, K. T. in 1986. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.BWM (Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Rezaei, J. in 2015. 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: TIFN-CODAS · BWM · CRITIC. Pobrano 2026-06-19 z https://scholargate.app/pl/compare