Ranking
PL-EDAS: Probabilistic Linguistic extension of EDAS
Pang, Q., Wang, H., Xu, Z. · 2016
Method assistant
Grounded explanations: it explains the method, it does not compute.
Assumptions to verify
- •Decision matrix entries are valid Probabilistic Linguistic numbers/tuples
- •Underlying crisp method's compensation assumption holds in uncertain space
- •All decision-maker(s) and experts use the same linguistic/uncertainty scale
When not to use
- •Crisp data sufficient: use base EDAS directly (avoid unnecessary uncertainty layer)
- •Aggregation operator (PFWA/PFOWA/etc.) not specified: output ambiguous
Commonly paired with
- •n_a + PL-EDAS (common)
How to cite
Pang, Q.; Wang, H.; Xu, Z. (2016). Probabilistic linguistic term sets in multi-attribute group decision making. Information Sciences. https://doi.org/10.1016/j.ins.2016.06.021