Extensions of belief functions and possibility distributions by using the imprecise Dirichlet model

  title={Extensions of belief functions and possibility distributions by using the imprecise Dirichlet model},
  author={Lev V. Utkin},
  journal={Fuzzy Sets and Systems},
A belief function can be viewed as a generalized probability function and the belief and plausibility measures can be regarded as lower and upper bounds for the probability of an event. However, the classical probabilistic interpretation used for computing belief and plausibility measures may be unreasonable in many real applications when the number of observations or measurements is rather small. In order to overcome this difficulty, Walley’s imprecise Dirichlet model is used to extend the… CONTINUE READING

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