AI-FuzzyEngine

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t/01-fuzzyEngine.t  view on Meta::CPAN

    $v->low(  1 ); # explicit control for next tests
    $v->high( 0 );
    my $val = sprintf "%.2f", $v->defuzzify();
    is( $val*1, 0.5, 'defuzzy low' );

    $v->reset;
    $v->low(  0 );
    $v->high( 0.5 );
    $val = sprintf "%.2f", $v->defuzzify();
    is( $val*1, 1.5, 'defuzzy high' );

    $v->low( 1 );
    $val = $v->defuzzify();
    ok( ($val > 0.5 && $val < 1), 'defuzzy low + 0.5*high' );
};

my @int_var_pars = ( # $from => $to MISSING --> internal
                     'low'  => [0, 1, 10, 0],
                     'high' => [0, 0, 10, 1],
                   );

subtest "$var_class (internal) constructor" => sub {

    my $v  = $var_class->new( $fe, @int_var_pars );
    isa_ok( $v, $var_class, '$v' );

    is( $v->fuzzyEngine, $fe, 'fuzzyEngine is stored' );
    ok( $v->is_internal, 'Variable is internal' );
    is( ref( $v->sets), 'HASH', 'sets is a HashRef' );

    is_deeply( [$v->from, $v->to, [ sort keys %{ $v->sets } ] ],
               [   undef,  undef, [ sort qw(low high)       ] ],
               'Variable attributes and set names',
             );
};

subtest "$var_class (internal) methods" => sub {

    my $v  = $var_class->new( $fe, @int_var_pars );
    ok(   $v->is_valid_set('high'     ), 'is_valid_set (true) ' );
    ok( ! $v->is_valid_set('wrong_set'), 'is_valid_set (false)' );

    my $low_set = $v->set('low');
    isa_ok( $low_set, $set_class, 'What variable->set returns' );
    is_deeply( $low_set->memb_fun,
               [[]=>[]],
               'Membership function is empty',
             );

    can_ok( $v, 'low' );

    my $degree = $v->low;
    is( $degree, 0, 'initial value for degree of low' );

    $degree = $v->low(0.2, 0.1);
    is( $degree, 0.1, 'and / or for degree of low work' );

    $v->reset;
    is( $v->low, 0, 'reset works' );

    # Throw errors!
    throws_ok { $v->fuzzify(0)
              } qr/internal/, 'Checks illegal fuzzify call';
    throws_ok { $v->defuzzify
              } qr/internal/, 'Checks illegal defuzzify call';
    throws_ok { $v->change_set( low => [[]=>[]] )
              } qr/internal/i, 'Blocks change_set';
};

$fe = $class->new();

subtest "$class as factory" => sub {

    my $v = $fe->new_variable( 0 => 10,
                               'low'  => [0, 1, 10, 0],
                               'high' => [0, 0, 10, 1],
                             );
    isa_ok( $v, $var_class, 'What $fe->new_variable returns' );
    is_deeply( [$v->from, $v->to, [ sort keys %{ $v->sets } ] ],
               [       0,     10, [ sort qw(low high)       ] ],
               'Variable attributes and set names by new_variable',
             );

    my $w = $fe->new_variable( 0 => 1,
                               'low'  => [0, 1],
                               'high' => [1, 0],
                             );

    is_deeply( [ $fe->variables() ],
               [$v, $w],
               'Engine stores variables (should be weakened)',
             );

    $v->low( 0.1 );
    $w->low( 0.2 );

    my $v_resetted = $v->reset;
    isa_ok( $v_resetted,
            $var_class,
            'What variable->reset returns',
          ) or exit;
    is( $v->low, 0.0, 'Variable can be resetted'       );
    is( $w->low, 0.2, 'Other variables stay unchanged' );

    my $fe_resetted = $fe->reset();
    isa_ok( $fe_resetted,
            $class,
            'What fuzzyEngine->reset returns',
          );
    is( $w->low, 0.0, 'FuzzyEngine resets all variables' );
};

subtest 'synopsis' => sub {

    # Engine (or factory) provides fuzzy logical arithmetic
    my $fe = $class->new();

    # Disjunction:
    my $a = $fe->or ( 0.2, 0.5, 0.8, 0.7 ); # 0.8
    # Conjunction:
    my $b = $fe->and( 0.2, 0.5, 0.8, 0.7 ); # 0.2



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