A novel divergence measure in Dempster-Shafer evidence theory based on pignistic probability transform and its application in multi-sensor data fusion

Shijun Xu, Yi Hou, Xinpu Deng, Peibo Chen, Kewei Ouyang, Ye Zhang. A novel divergence measure in Dempster-Shafer evidence theory based on pignistic probability transform and its application in multi-sensor data fusion. IJDSN, 17(7), 2021. [doi]

@article{XuHDCOZ21,
  title = {A novel divergence measure in Dempster-Shafer evidence theory based on pignistic probability transform and its application in multi-sensor data fusion},
  author = {Shijun Xu and Yi Hou and Xinpu Deng and Peibo Chen and Kewei Ouyang and Ye Zhang},
  year = {2021},
  doi = {10.1177/15501477211031473},
  url = {https://doi.org/10.1177/15501477211031473},
  researchr = {https://researchr.org/publication/XuHDCOZ21},
  cites = {0},
  citedby = {0},
  journal = {IJDSN},
  volume = {17},
  number = {7},
}