def __init__(self, a=0.0, delta=1.0):
        """Initialize a Pi-shaped fuzzy set.

        @param a: center of set
        @type a: float
        @param delta: absolute distance between x-values for minimum and maximum
        @type delta: float
        """
        super(PiFunction, self).__init__()
        self.a = a
        self.delta = delta
        self._sfunction = SFunction(a - delta/2., delta/2)
        self._zfunction = ZFunction(a + delta/2., delta/2)
Beispiel #2
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    def test_set_get_pyfuzzy_for_sfunction_type(self):
        " shoud return the correct corresponding pyfuzzy object for the SFunction type "

        new_set = self._mock_setModel('fuzzy.set.SFunction.SFunction')

        a = 1.2
        delta = 2.3


        self.parameters_mock = [
                self._parameters_mock(name="a", value=a),
                self._parameters_mock(name="delta", value=delta),
            ]

        # mocking parameters (queryset)
        parameters_queryset = mock.Mock()
        parameters_queryset.all = lambda : self.parameters_mock
        self.set_pre_mock(SetModel,'parameters')
        SetModel.parameters = parameters_queryset


        new_pyfuzzy_set = new_set.get_pyfuzzy()

        # the expected pyfuzzy system
        pyfuzzy_set_expected = SFunction(a = a, delta = delta)

        # are from the same class
        self.assertEquals(type(pyfuzzy_set_expected), type(new_pyfuzzy_set))

        # have the same args
        self.assertEquals(pyfuzzy_set_expected.a, new_pyfuzzy_set.a)
        self.assertEquals(pyfuzzy_set_expected.delta, new_pyfuzzy_set.delta)
Beispiel #3
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 def __call__(self, x):
     """Return membership of x in this fuzzy set.
        This method makes the set work like a function.
        
        @param x: value for which the membership is to calculate
        @type x: float
        @return: membership
        @rtype: float
        """
     return 1.0 - SFunction.__call__(self, x)
Beispiel #4
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 def __call__(self,x):
     """Return membership of x in this fuzzy set.
        This method makes the set work like a function.
        
        @param x: value for which the membership is to calculate
        @type x: float
        @return: membership
        @rtype: float
        """
     return 1.0 - SFunction.__call__(self,x)
 def __call__(self, x):
     """Return membership of x in this fuzzy set.
        This method makes the set work like a function.
        
        @param x: value for which the membership is to calculate
        @type x: float
        @return: membership
        @rtype: float
        """
     a = self.a
     d = self.delta / 2.0
     if x < a:
         return SFunction(a - d, d)(x)
     else:
         return ZFunction(a + d, d)(x)
Beispiel #6
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    def test_set_from_pyfuzzy_for_sfunction_type(self):
        " shoud return the correct corresponding SetModel for the SFunction pyfuzzy object "

        a = 1.2
        delta = 2.3
        pyfuzzy_set = SFunction(a = a, delta = delta)

        new_set = SetModel.from_pyfuzzy(pyfuzzy_set)

        pyfuzzy_set_full_namespace = pyfuzzy_set.__module__ + "." + pyfuzzy_set.__class__.__name__

        # are from the same class
        self.assertEquals(pyfuzzy_set_full_namespace, new_set.set)

        # have the same args
        self.assertEquals(2,new_set.parameters.all().count())

        a_param = new_set.parameters.get(name="a")
        delta_param = new_set.parameters.get(name="delta")

        self.assertEquals(pyfuzzy_set.a, a_param.get_value())
        self.assertEquals(pyfuzzy_set.delta, delta_param.get_value())
class PiFunction(Function):
    r"""
    Realize a Pi-shaped fuzzy set::
        
                _
               /|\
              / | \
            _/  |  \_
             |  a  |
             |     |
              delta

    See also U{http://pyfuzzy.sourceforge.net/demo/set/PiFunction.png}

    
    @ivar a: center of set.
    @type a: float
    @ivar delta: absolute distance between x-values for minimum and maximum.
    @type delta: float
    """

    def __init__(self, a=0.0, delta=1.0):
        """Initialize a Pi-shaped fuzzy set.

        @param a: center of set
        @type a: float
        @param delta: absolute distance between x-values for minimum and maximum
        @type delta: float
        """
        super(PiFunction, self).__init__()
        self.a = a
        self.delta = delta
        self._sfunction = SFunction(a - delta/2., delta/2)
        self._zfunction = ZFunction(a + delta/2., delta/2)

    def __call__(self, x):
        """Return membership of x in this fuzzy set.
           This method makes the set work like a function.
           
           @param x: value for which the membership is to calculate
           @type x: float
           @return: membership
           @rtype: float
           """
        if x < self.a:
            return self._sfunction(x)
        else:
            return self._zfunction(x)

    def getCOG(self):
        """Return center of gravity."""
        return self.a

    def getValuesX(self):
        """Return sequence of x-values so we get a smooth function."""
        for x in self._sfunction.getValuesX():
            yield x
        # first value is equal the last of the previous sequence    
        skippedFirst = False 
        for x in self._zfunction.getValuesX():
            if not skippedFirst:
                skippedFirst = True
            else:
                yield x

    def __repr__(self):
        """Return representation of instance.
                   
           @return: representation of instance
           @rtype: string
           """
        return "%s.%s(a=%s, delta=%s)" % (self.__class__.__module__, self.__class__.__name__, self.a, self.delta)