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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...

The library provides an implementation of dimensioned values for Ada. Unit checks are made at run-time, if not optimized out by the compiler. SI and irregular measurement units are supported. Shifted units like degrees Celsius are supported too. Conversions from and back to strings are provided for all various irregular units. An extensive set of GTK widgets for dealing with dimensioned values is included, though use of GTK is not mandatory for the rest of the library.

Agar provides a base GUI framework and a standard set of widgets from which graphical applications can be built which run natively under X11, Windows, MacOS, SDL and others. It takes advantage of texture and GPU acceleration wherever available. Agar can also attach to an existing framebuffer, SDL or OpenGL context and operate as a self-contained window-manager. It includes a standard library of general-purpose widgets, and is also designed to be extended externally. New widgets can be...