Ranking
Prob-ARAS: Stochastic extension of PROB-ARAS
Zavadskas, E. K., Turskis, Z. · 2010
Method assistant
Grounded explanations: it explains the method, it does not compute.
Assumptions to verify
- •Decision matrix entries are valid Probabilistic (Stochastic) 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 ARAS directly (avoid unnecessary uncertainty layer)
- •Aggregation operator (PFWA/PFOWA/etc.) not specified: output ambiguous
Commonly paired with
- •n_a + PROB-ARAS (common)
How to cite
Zavadskas, E. K.; Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy. https://doi.org/10.3846/tede.2010.10