This module includes calculation methods in DST. Following major fonctions are included for the moment:

1. Fast Mobius Transformation (FMT) on mass functions (Philippe Smet's version)
2. Main stream combination rules over mass functions
3. Conflict & Distance calculation between mass functions
4. DST-based machine learning rules:

• Evidential c-means It is currently maintained by a several members in team CPSS of Hainan University.

Code is valid only on python 3. The calculation is implemented with matrix calculation, depending on numpy, scipy, matplotlib

You can check the latest sources with the command: git clone https://github.com/jusdesoja/iBelief_python.git

If you use scikit-learn in a scientific publication, we would appreciate citations: