A New Robust Dynamic Bayesian Network Model with Bounded Deviation Budget for Disruption Risk Evaluation

Ming Liu 0008, Tao Lin, Feng Chu, Feifeng Zheng, Chengbin Chu. A New Robust Dynamic Bayesian Network Model with Bounded Deviation Budget for Disruption Risk Evaluation. In Alexandre Dolgui, Alain Bernard, David Lemoine, Gregor von Cieminski, David Romero, editors, Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5-9, 2021, Proceedings, Part III. Volume 632 of IFIP Advances in Information and Communication Technology, pages 681-688, Springer, 2021. [doi]

@inproceedings{0008LCZC21,
  title = {A New Robust Dynamic Bayesian Network Model with Bounded Deviation Budget for Disruption Risk Evaluation},
  author = {Ming Liu 0008 and Tao Lin and Feng Chu and Feifeng Zheng and Chengbin Chu},
  year = {2021},
  doi = {10.1007/978-3-030-85906-0_74},
  url = {https://doi.org/10.1007/978-3-030-85906-0_74},
  researchr = {https://researchr.org/publication/0008LCZC21},
  cites = {0},
  citedby = {0},
  pages = {681-688},
  booktitle = {Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5-9, 2021, Proceedings, Part III},
  editor = {Alexandre Dolgui and Alain Bernard and David Lemoine and Gregor von Cieminski and David Romero},
  volume = {632},
  series = {IFIP Advances in Information and Communication Technology},
  publisher = {Springer},
  isbn = {978-3-030-85906-0},
}