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://fitnessgravesyardes.shop/product-category/star-washer/