py_dempster_shafer

py_dempster_shafer: A Python library for performing calculations in the Dempster-Shafer theory of evidence. Features: Support for normalized as well as unnormalized belief functions Different Monte-Carlo algorithms for combining belief functions Various methods related to the generalized Bayesian theorem Measures of uncertainty Methods for constructing belief functions from data

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  1. Pellicanò, Nicola; Le Hégarat-Mascle, Sylvie; Aldea, Emanuel: 2CoBel: a scalable belief function representation for 2D discernment frames (2018)