一种用于移动遥测数据分析的Choquet模糊积分垂直Bagging分类器
A Choquet Fuzzy Integral Vertical Bagging Classifier for Mobile Telematics Data Analysis
摘要：
近年来，移动应用程序的开发带来了新的产品和功能，以改善人类的生活。移动远程信息处理就是这样一种发展，它涵盖了运输安全的多学科领域。移动远程信息处理技术的应用已经在许多领域进行了探索，例如保险和道路安全。然而，据我们所知，其在性别检测中的应用尚未得到探索。本文提出了一种Choquet模糊积分垂直装袋分类器，通过移动远程信息处理检测性别。该模型利用粗糙集理论对随机生成的特征训练不同的随机森林分类器，并利用Choquet模糊积分对前三个分类器进行融合。该模型在一个真实的数据集上实现和评估。实验结果表明，Choquet模糊积分垂直装袋分类器优于其他分类器。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
