Introduction to GAF GAF (Genetic-Adapt Fuzzy Control) runs in IBM PC and compatible machin

Introduction to GAF
    GAF (Genetic-Adapt Fuzzy Control) runs in IBM PC and compatible machines. 
    The development of GAF is intended for off-line simulation, adaptation
    and on-line adaptive control.  Currently the functions for simulation and
    off-line adaptation are completed, the on-line portion is still under
    developing.

    GAF builds run time data directly from fuzzy IF-THEN rule segments
    contained in English like text files.  It eliminates intermediate
    compilation and achieves quick turn-around time.

    A segment, a basic unit in GAF, can be defined by means of:
        fuzzy rules
        mathematic formulas
        combination of fuzzy rules and math formulas
    Not only the control can be defined in segments, the feedback and the
    evaluation can also be defined for simulation and adaptation.  In future
    release GAF will be able to use data set (measured or modeled) as its
    feedback.

    With GAF's graphic display and user interface it also provides user as an
    education tool for understanding fuzzy logic and genetic algorithm.

    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. 

GAF's Simulation
    GAF provides an integrated simulation environment for user to fine-tune
    their fuzzy control applications and examine the response of the fuzzy
    rules with certain conditions (i.e. for some known input values).  High
    lights of GAF's simulation environment are:

        Integrated simulation
        Verify single segment
        Change schedule rate
        Single step to view details of fuzzy inference
        Change output gain
        Enable/disable rule

GAF's Off-line Adaptation
    With evaluation segment, GAF is capable of adapting user's fuzzy control
    applications automatically.  In future release GAF will provide user with
    canned evaluation method.  Major adapting functions are:

        Change existing rule
        Change fuzzy membership set
        Adding new rule
        Disable existing rule
        Alter cycle time
        Alter output gain