Sequential Decision-Making Under Uncertainty Using Hybrid Probability-Possibility Functions

Didier Dubois, Hélène Fargier, Romain Guillaume, Agnès Rico. Sequential Decision-Making Under Uncertainty Using Hybrid Probability-Possibility Functions. In Vicenç Torra, Yasuo Narukawa, editors, Modeling Decisions for Artificial Intelligence - 18th International Conference, MDAI 2021, Umeå, Sweden, September 27-30, 2021, Proceedings. Volume 12898 of Lecture Notes in Computer Science, pages 54-66, Springer, 2021. [doi]

@inproceedings{DuboisFGR21,
  title = {Sequential Decision-Making Under Uncertainty Using Hybrid Probability-Possibility Functions},
  author = {Didier Dubois and Hélène Fargier and Romain Guillaume and Agnès Rico},
  year = {2021},
  doi = {10.1007/978-3-030-85529-1_5},
  url = {https://doi.org/10.1007/978-3-030-85529-1_5},
  researchr = {https://researchr.org/publication/DuboisFGR21},
  cites = {0},
  citedby = {0},
  pages = {54-66},
  booktitle = {Modeling Decisions for Artificial Intelligence - 18th International Conference, MDAI 2021, Umeå, Sweden, September 27-30, 2021, Proceedings},
  editor = {Vicenç Torra and Yasuo Narukawa},
  volume = {12898},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-85529-1},
}