pyevidence: practical evidence theory
Read OriginalThis article discusses the pyevidence Python library, which is designed to make Dempster-Shafer evidence theory practical by solving its computational challenges. It explains the theory's basics, the issues with scaling calculations on large sets, and how the library provides efficient tools for mass assignment, belief/plausibility measures, and evidence fusion.
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