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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.
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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 address below. CD-ROM: Prime Time Freeware for AI, Issue 1-1 Author(s): RP Huang 3842 West Sheffield Ave. Chandler, AZ 85226 USA Keywords: Authors!Huang, Fuzzy Logic, GAF, Genetic Algorithms, Shareware References: ?
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