Data Fusion in Environment Monitoring Systems with Extended Dempster-Shafer Theory
Jin Gang Li, Chun Na Zheng, Hong Wei Xuan, Yan Jiang · Applied Mechanics and Materials · 2014
In order to improve the accuracy and reliability of multi-source heterogeneous data in the collection process for environment monitoring, according to the analysis of the limitations, the existing methods and the features of data collected, a new kind of data fusion approach based on extended Dempster-Shafer theory is proposed. The mathematical description of extended Dempster-Shafer theory based on the data fusion is defined and the corresponding model is developed in which the data fusion method and the implementation of the algorithm are discussed. Finally, the proposed approach is applied to a computing system. The study of this approach can supply scientific accordance for comprehensive monitoring of environment.