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This is the Windows app named Fuzzy machine learning framework whose latest release can be downloaded as fuzzy_ml_1_10.tgz. It can be run online in the free hosting provider OnWorks for workstations.

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SCREENSHOTS:

Fuzzy machine learning framework


DESCRIPTION:

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 or SQLite; text I/O and HTML output; an advanced graphical user interface based on GTK+; and examples of use.



Features

  • Based on the intuitionistic fuzzy sets and the possibility theory
  • All the data the system operates on are considered fuzzy
  • Fuzzy classes, within the framework classes take a natural interpretation of distinguished features
  • Numeric, enumeration features and features based on linguistic variables
  • Open for definition of new features beyond built-in classes of numeric, nominal and linguistic ones
  • Derived and evaluated features. Along with the measured features the system supports the features deduced from other features
  • Classifiers as features for building hierarchical systems
  • Automatic refinement in case of dependent features
  • Incremental learning support
  • Extended fuzzy control language support
  • Object-oriented software design
  • Features, training sets and classifiers are extensible objects
  • Automatic garbage collection
  • Generic data base support through ODBC and SQLite
  • Ada 95, 2005, 2012 compliant. GTK+ GUI requires at least Ada 2005
  • Text I/O is provided for teaching sets and classifiers. Teaching sets can be imported in an intuitive format from text files
  • Training sets and classifiers can be output in directly HTML format, supporting a web-ready solution
  • GTK+ 3 GUI. The GUI is optional the system can be used fully programmatically
  • Delivered with an set of samples varying from ones illustrating usage of the system components to examples of training on real- life and size data


Audience

Science/Research, Education, Advanced End Users, Developers


User interface

GTK+


Programming Language

Ada


Database Environment

SQLite, ODBC


This is an application that can also be fetched from https://sourceforge.net/projects/fuzzyml/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.

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