skip to navigation
skip to content

py_dempster_shafer 0.7

Dempster-Shafer theory library

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.

 
File Type Py Version Uploaded on Size
py_dempster_shafer-0.7.tar.gz (md5) Source 2014-10-10 12KB