General Mathematics

   

A Hierarchical Flexible Coarsening Method to Combine BBAs in Probabilities

Authors: Yilin Dong, Xinde Li, Jean Dezert

In many applications involving epistemic uncertainties usually modeled by belief functions, it is often necessary to approximate general (non-Bayesian) basic belief assignments (BBAs) to subjective probabilities (called Bayesian BBAs). This necessity occurs if one needs to embed the fusion result in a system based on the probabilistic framework and Bayesian inference (e.g. tracking systems), or if one wants to use classical decision theory to make a decision.

Comments: 8 Pages.

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[v1] 2017-11-02 02:28:48

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