Pattern classification based on the combination of the selected sources of evidence

@article{Liu2017PatternCB,
  title={Pattern classification based on the combination of the selected sources of evidence},
  author={Zhunga Liu and Yongchao Liu and Kuang Zhou and You He},
  journal={2017 20th International Conference on Information Fusion (Fusion)},
  year={2017},
  pages={1-8}
}
In the complex pattern classification problem, the fusion of multiple classification results produced by different attributes is able to efficiently improve the accuracy. Evidence theory is good at representing and combining the uncertain information, and it is employed here. Each attribute (set) can be considered as one source of evidence (information). In some applications, the observation of target attributes can be costly, and some unreliable information sources may harm the fusion result… CONTINUE READING