Decision-Making with Belief Functions: a Review

@article{Denoeux2019DecisionMakingWB,
  title={Decision-Making with Belief Functions: a Review},
  author={T. Denoeux},
  journal={Int. J. Approx. Reason.},
  year={2019},
  volume={109},
  pages={87-110}
}
  • T. Denoeux
  • Published 2019
  • Computer Science, Mathematics
  • Int. J. Approx. Reason.
Abstract Approaches to decision-making under uncertainty in the belief function framework are reviewed. Most methods are shown to blend criteria for decision under ignorance with the maximum expected utility principle of Bayesian decision theory. A distinction is made between methods that construct a complete preference relation among acts, and those that allow incomparability of some acts due to lack of information. Methods developed in the imprecise probability framework are applicable in the… Expand
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