Developed by Professor Cezary Z. Janikow
FID is a program which generates a fuzzy logic based decision tree from continuous and/or discrete example data. The tree can then be used to classify new data (even with unknown, missing, or noisy characteristics) using several different methods of inference.
The current version is FID 3.5 and was released in August 2015, adding modules for k-fold cross-validation and artificial noise and missing value induction. Minor bug fixes have been applied and the program has been recompiled on more recent versions of supported platforms. A GUI interface has been available since FID 3.4 as well.
Visit About for an overview and version history, see Downloads to obtain the executables and manuals, and look at Papers for publications and presentations regarding FID. Please see the Contact page to send any comments, suggestions, or errors.