ANN: Fuzzy machine learning framework v0.1

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Dmitry A. Kazakov

Nov 7, 2010, 4:42:05 AM11/7/10
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.

Dmitry A. Kazakov

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