A Python library for performing calculations in the Dempster-Shafer theory of evidence.
Python
Switch branches/tags
Nothing to show
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
.gitignore
.project
.pydevproject
LICENSE
README
examples.py
pyds.py
pyds_test.py
setup.py
stats.py

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.