A comparison: Fuzzy signatures and Choquet Integral

Fuzzy signatures are hierarchical multi aggregative descriptors of objects. They have reduced computational complexity compared to formal fuzzy rule based systems. Weighted relevance aggregation enhances the performance of hierarchical fuzzy signatures. Thus, they are very robust and flexible under perturbed input data. On the other hand the Choquet integral, which is based on fuzzy measures, is a powerful aggregation tool in multi-criteria decision making. We compared fuzzy signatures and the Choquet integral as practical applications for hierarchical and non-hierarchical data aggregation/organization methods.