CMU Artificial Intelligence Repository
GAF: Adaptive fuzzy logic using Genetic Algorithms
Genetic-Adapt FuzzyWare (GAF) provides off-line simulation,
adaptation, and eventually on-line adaptive control. GAF builds run
time data directly from fuzzy IF-THEN rule segments contained in
English like text files.
GAF allows users to generate a fuzzy control system by simply defining
the inputs, outputs, data set, and initial rule sets. GAF uses genetic
algorithm to derive proper rules and fuzzy sets from the initial rules.
By changing, adding, deleting rules and fuzzy membership sets, the genetic
algorithm automatically adapts and optimizes the fuzzy control system.
as the file gaf110b.zip
Version: 1.10b (26-JAN-94)
Requires: IBM PC (EGA/VGA), DOS 3.0 or higher. Color VGA recommended.
Copying: Shareware $40.
If you like GAF and find it useful, or want to get the
latest version of GAF, a registration of $40 would be
appreciated. Please indicate the type of machine and
the version of GAF you have and send it to the author at the
CD-ROM: Prime Time Freeware for AI, Issue 1-1
Author(s): RP Huang
3842 West Sheffield Ave.
Chandler, AZ 85226 USA
Authors!Huang, Fuzzy Logic, GAF, Genetic Algorithms,
Last Web update on Mon Feb 13 10:22:19 1995