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Rough-MABAC — Rough extension of MABAC

ROUGH-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.

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Sources

  1. Jia, 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: 10.1016/j.eswa.2019.03.016

Related methods

ScholarGateROUGH-MABAC (Rough-MABAC — Rough extension of MABAC). Retrieved 2026-06-04 from https://scholargate.app/en/decision-making/rough-mabac