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Rough-MABAC×Kriteeriumide tähtsus interkriteeriumite korrelatsiooni kaudu×
ValdkondOtsustamineOtsustamine
PerekondMCDMMCDM
Tekkeaasta20191995
LoojaJia, F., Liu, Y., Wang, X.Diakoulaki, D., Mavrotas, G., Papayannakis, L.
TüüpIF-Rough outranking/ranking — Intuitionistic Fuzzy Rough Number (membership μ, non-membership ν)Statistical contrast intensity + correlation-based objective weighting
AlgallikasJia, F., Liu, Y., Wang, X. (2019). An extended MABAC method for multi-criteria group decision making based on intuitionistic fuzzy rough numbers. Expert Systems with Applications DOI ↗Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research DOI ↗
Rööpnimetused
Seotud88
KokkuvõteROUGH-MABAC (Rough-MABAC — Rough extension of MABAC) is a ranking multi-criteria decision-making (MCDM) method introduced by Jia, F., Liu, Y., Wang, X. 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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ScholarGateVõrdle meetodeid: ROUGH-MABAC · CRITIC. Loetud 2026-06-17 aadressilt https://scholargate.app/et/compare