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A Python library for performing calculations in the Dempster-Shafer theory of evidence.
Python
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README

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

Both Python 2.7 and Python 3.x are supported.

See examples.py for how to use it.
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