[download Windows installer file]   
Windows binary distribution for x86 Windows 2000/XP/Vista/7/10. The distribution includes:
  • the fuzzy machine learning framework GUI;
  • the user guide to it;
  • a binary distribution of GTK+.
   
Linux packages
  ARM Intel      
  v7 64- 32bit     Platform
  [Download page] [Download page] [Download page]     Fedora packages     The packages are also available through a yum repository. In order to access them this way, the file dmitry-kazakov.repo can be put into the directory /etc/yum.repos.d. Then the binary distribution can be installed like:
$ yum install fuzzy-ml-system
  64- 32bit
    [Download page] [Download page]     CentOS packages   The packages are also available through a yum repository. In order to access them this way, the file dmitry-kazakov.centos.repo can be put into the directory /etc/yum.repos.d. Then the binary distribution can be installed like:
$ yum install fuzzy-ml-system
  v7 64- 32bit  
  [Download page] [Download page] [Download page]     Debian packages   These packages are located in an apt repository. For automatic install and update add the following line to /etc/apt/sources.list:
deb http://dmitry-kazakov.de/distributions sid main

Then the binary distribution can be installed using the following command:

$ apt-get install fuzzy-ml-system
 

Additionally to get Fuzzy Control Language (FCL) files properly colored you may wish to replace the file /usr/share/gtksourceview-*/language-specs/fcl.lang with this one: fcl.lang.

Format: rpm, deb packages

[Download sources tgz archive]
Sources can be used on any platform where an Ada 2005 compiler is available. Refer to the API and GUI documentation for additional packages required (e,g, GTK, GtkAda, gtksourceview). The sources include:
  • the core implementation packages and the API of the fuzzy machine learning framework;
  • the Fuzzy Control Language compiler;
  • GTK+ widgets;
  • GUI front end;
  • GNAT project files;
  • documentation and samples.

Format: tgz (tar + gzip). Under Windows the archive can be unpacked using WinZip, WinRar etc.