Parameter learning and applications of the inclusion-exclusion integral for data fusion and analysis

Developments in the learning and interpretation of fuzzy integrals have paved the way for a myriad of applications in data analysis and prediction. The ability of the associated fuzzy measure to model heterogeneous interactions allow high flexibility when it comes to data fusion tasks – comparable to that of neural networks – however the fuzzy integral structure and properties also afford a degree of robustness and interpretability not enjoyed...