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; an advanced graphical user interface based on GTK+; and examples of use.
aicwl is an Ada library that is intended for designing high-quality industrial control widgets for Ada applications. The widgets are composed of transparent layers drawn by cairo. The widgets are fully scalable graphics. A time controlled refresh policy is supported for real-time and heavy-duty applications. The library supports caching graphical operations and stream I/O for serialization and deserialization. Ready-to-use gauge and meter widgets are provided as samples as well as an editor widget for WYSIWYG design of complex dashboards. The software is based on GtkAda and cairoada, the Ada bindings to GTK+ and cairo.