Ranking
Rough-MARCOS: Rough extension of MARCOS
Matić, B., Marinković, M., Jovanović, S., Sremac, S., Stević, Ž. · 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 MARCOS directly (avoid unnecessary uncertainty layer)
- •Aggregation operator (PFWA/PFOWA/etc.) not specified: output ambiguous
Commonly paired with
- •n_a + ROUGH-MARCOS (common)
How to cite
Matić, B.; Marinković, M.; Jovanović, S.; Sremac, S.; Stević, Ž. (2022). Intelligent Novel IMF D-SWARA-Rough MARCOS Algorithm for Selection Construction Machinery for Sustainable Construction of Road Infrastructure. Buildings. https://doi.org/10.3390/buildings12071059