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Fuzzy machine learning framework 0.1

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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).

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Fuzzy machine learning framework is periodically updated by FileCluster but you may encounter situations when the software informations are slightly out-of-date, the developer can modify this product without notifying us. Version [0.1] is currently the latest updated version of the software.

Any form of support or software problems will be addressd directly to its developers, Dmitry A. Kazakov. Please be aware that we do NOT provide Fuzzy machine learning framework cracks, serial numbers, registration codes or any forms of pirated software downloads.
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