Pignistic Probability Transforms for Mixes of Low- and High-Probability Events

@article{Sudano2001PignisticPT,
  title={Pignistic Probability Transforms for Mixes of Low- and High-Probability Events},
  author={John J. Sudano},
  journal={ArXiv},
  year={2001},
  volume={abs/1505.07751}
}
In some real world information fusion situations, time critical decisions must be made with an incomplete information set. Belief function theories (e.g., Dempster-Shafer theory of evidence, Transferable Belief Model) have been shown to provide a reasonable methodology for processing or fusing the quantitative clues or information measurements that form the incomplete information set. For decision making, the pignistic (from the Latin pignus, a bet) probability transform has been shown to be a… CONTINUE READING

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