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Mobile app development in recent years has resulted in new products andfeatures to improve human life. Mobile telematics is one such development thatencompasses multidisciplinary fields for transportation safety. The applicationof mobile telematics has been explored in many areas, such as insurance androad safety. However, to the best of our knowledge, its application in genderdetection has not been explored. This paper proposes a Choquet fuzzy integralvertical bagging classifier that detects gender through mobile telematics. Inthis model, different random forest classifiers are trained by randomlygenerated features with rough set theory, and the top three classifiers arefused using the Choquet fuzzy integral. The model is implemented and evaluatedon a real dataset. The empirical results indicate that the Choquet fuzzyintegral vertical bagging classifier outperforms other classifiers.

A Choquet Fuzzy Integral Vertical Bagging Classifier for Mobile Telematics Data Analysis