PyIT2FLS 0.8.0

• Starting initial support of machine learning models based on fuzzy systems. Based on
  optimization for execution time or linguistic interpretability of the results, these
  models may have different computational efficiency.
  • Type 1 TSK Model
  • Type 1 Mamdani Model
  • Interval Type 2 TSK Model
  • Interval Type 2 Mamdani Model
• Starting initial support of Takagi-Sugeno models, widely used in dynamic systems control:
  • Type 1 Takagi-Sugeno System
  • Interval Type 2 Takagi-Sugeno System
• Documentations have been enhanced and published over readthedocs.
  More enhancement are on the way with more tutorials and examples.
• Some functions were deprecated in SciPy, NumPy, and Matplotlib. There are updates
  concerning this issue.
• More exception handling have been done in the new version of the PyIT2FLS, but not
  completed, yet.
• Minor enhancements have been made in plotting functions.