MCDMRankingLinguistic probabilistic
Plithogenic MABAC (with BWM weighting and Rough Number uncertainty)
PL-MABAC (Plithogenic MABAC (with BWM weighting and Rough Number uncertainty)) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D. Ćirović, G. in 2015. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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Sources
- Pamučar, D., Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using MABAC. Expert Systems with Applications DOI: 10.1016/j.eswa.2014.11.057 ↗