  Mobile app development in recent years has resulted in new products and
features to improve human life. Mobile telematics is one such development that
encompasses multidisciplinary fields for transportation safety. The application
of mobile telematics has been explored in many areas, such as insurance and
road safety. However, to the best of our knowledge, its application in gender
detection has not been explored. This paper proposes a Choquet fuzzy integral
vertical bagging classifier that detects gender through mobile telematics. In
this model, different random forest classifiers are trained by randomly
generated features with rough set theory, and the top three classifiers are
fused using the Choquet fuzzy integral. The model is implemented and evaluated
on a real dataset. The empirical results indicate that the Choquet fuzzy
integral vertical bagging classifier outperforms other classifiers.
