Fuzzy machine learning framework 0.1

Fuzzy machine learning framework - Fuzzy machine learning framework

Fuzzy machine learning framework is a library and a GUI front-end for machine learning using intuitionistic fuzzy data. The approach is based on the intuitionistic fuzzy sets and the possibility theory. Further characteristics are: fuzzy features and classes; numeric, enumeration features and features based on linguistic variables; user-defined features; derived and evaluated features; classifiers as features for building hierarchical systems; automatic refinement in case of dependent features; incremental learning; fuzzy control language support; object-oriented software design with extensible objects and automatic garbage collection; generic data base support through ODBC; text I/O and HTML output; advanced graphical user interface based on GTK+; examples of use.

Fuzzy machine learning framework 0.1 is licensed as Freeware for the Windows, Linux operating system / platform. Fuzzy machine learning framework is provided as a free download for all software users (Freeware).