Ranking
CF-TOPSIS: Complex extension of TOPSIS
Ramot, D., Milo, R., Friedman, M., Kandel, A. · 2002
Method assistant
Grounded explanations: it explains the method, it does not compute.
Assumptions to verify
- •Decision matrix entries are valid Complex Fuzzy 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 TOPSIS directly (avoid unnecessary uncertainty layer)
- •Aggregation operator (PFWA/PFOWA/etc.) not specified: output ambiguous
Commonly paired with
- •n_a + CF-TOPSIS (common)
How to cite
Ramot, D.; Milo, R.; Friedman, M.; Kandel, A. (2002). Complex fuzzy sets. IEEE Transactions on Fuzzy Systems. https://doi.org/10.1109/91.995119