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Rough-MABAC×CRiteria Importance Through Intercriteria Correlation×
ÄmnesområdeBeslutsfattandeBeslutsfattande
FamiljMCDMMCDM
Ursprungsår20191995
UpphovspersonJia, F., Liu, Y., Wang, X.Diakoulaki, D., Mavrotas, G., Papayannakis, L.
TypIF-Rough outranking/ranking — Intuitionistic Fuzzy Rough Number (membership μ, non-membership ν)Statistical contrast intensity + correlation-based objective weighting
UrsprungskällaJia, 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 ↗
Alias
Närliggande88
SammanfattningROUGH-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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ScholarGateJämför metoder: ROUGH-MABAC · CRITIC. Hämtad 2026-06-18 från https://scholargate.app/sv/compare