Ranking
Rough-EDAS: Rough extension of EDAS
Paul, V.K., Chakraborty, S., Chakraborty, S. · 2022
Method assistant
Grounded explanations: it explains the method, it does not compute.
Assumptions to verify
- •Decision matrix entries are valid Rough 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 + ROUGH-EDAS (common)
How to cite
Paul, V.K.; Chakraborty, S.; Chakraborty, S. (2022). An Integrated IRN-BWM-EDAS Method for Supplier Selection in a Textile Industry. Decision Making: Applications in Management and Engineering. https://doi.org/10.31181/dmame0307102022p