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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 is a contribution to GtkAda, an Ada bindings to GTK+ toolkit. It deals with the following issues: tasking support; custom models for tree view widget; custom cell renderers for tree view widget; multi-columned derived model; an extension derived model (to add columns to an existing model); an abstract caching model for directory-like data; tree view and list view widgets for navigational browsing of abstract caching models; file system navigation widgets with wildcard filtering;...