Computational models may help to reduce research cost by predicting properties of alternative blends. Nowadays, most efforts focus on prediction a few for sets gasoline samples. However, there are no reports able classification samples with multiple output measured in real life refinery plants. In this work, Information Fusion (IF), Perturbation Theory (PT), and Machine Learning (ML) algorithm ...