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. https://www.roneverhart.com/HP-Pavilion-15-eg1053cl-15-6-FHD-Touch-Intel-Core-i5-1235U-3-30-GHz-Intel-Iris-Xe-Graphics-12-GB-DDR4-RAM-512-GB-SSD-/