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FuzzyInference.pm  view on Meta::CPAN

Here, all implicated fuzzy sets of the fired rules are combined using
fuzzy operators to generate a single fuzzy set for each of the
output variables.

=head2 Defuzzification

Finally, a defuzzification operator is applied to the aggregated fuzzy
set to generate a single crisp value for each of the output variables.

For a more detailed explanation of fuzzy inference, you can check out
the tutorial by Jerry Mendel at
S<http://sipi.usc.edu/~mendel/publications/FLS_Engr_Tutorial_Errata.pdf>.

Note: The terminology used in this module might differ from that used
in the above tutorial.

=head1 PUBLIC METHODS

The module has the following public methods:

=over 4

README  view on Meta::CPAN

    Here, all implicated fuzzy sets of the fired rules are combined using
    fuzzy operators to generate a single fuzzy set for each of the output
    variables.

  Defuzzification

    Finally, a defuzzification operator is applied to the aggregated fuzzy
    set to generate a single crisp value for each of the output variables.

    For a more detailed explanation of fuzzy inference, you can check out
    the tutorial by Jerry Mendel at
    http://sipi.usc.edu/~mendel/publications/FLS_Engr_Tutorial_Errata.pdf.

    Note: The terminology used in this module might differ from that used in
    the above tutorial.

PUBLIC METHODS
    The module has the following public methods:

    new()
        This is the constructor. It takes no arguments, and returns an