MCDMRankingLinguistic probabilistic

Probabilistic Linguistic extension of EDAS

PL-EDAS (Probabilistic Linguistic extension of EDAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Pang, Q. Wang, H. Xu, Z. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.

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Sources

  1. Pang, Q., Wang, H., Xu, Z. (2016). Probabilistic linguistic term sets in multi-attribute group decision making. Information Sciences DOI: 10.1016/j.ins.2016.06.021

Related methods

ScholarGatePL-EDAS (Probabilistic Linguistic extension of EDAS). Retrieved 2026-06-04 from https://scholargate.app/en/decision-making/pl-edas