Module type2fuzzy.display.intervaltype2fuzzysetplot

Classes

class IntervalType2FuzzySetPlot (it2fs)

Plotter class for a interval type-2 fuzzy set.

init

Arguments:

it2fs – a general type-2 fuzzy set

Expand source code

class IntervalType2FuzzySetPlot():
        '''
        Plotter class for a interval type-2 fuzzy set.
        '''

        def __init__(self, it2fs):
                '''
                init

                Arguments:
                ----------
                it2fs -- a general type-2 fuzzy set
                '''
                self._intervaltype2set = it2fs
                self.divs = 5

        def plot(self, curr_ax):
                '''
                Plots a general type-2 fuzzy set as an image

                Arguments:
                ----------
                ax -- the axis for this plot
                row -- the row where this plot is placed
                col -- the column where this row is placed
                '''
                # and set them as current axis
                # curr_ax = ax[row,col]

                primary_domain = self._intervaltype2set.primary_domain()
                upper_membership_function = self._intervaltype2set.higher_membership_function()
                lower_membership_function = self._intervaltype2set.lower_membership_function()

                x_array_res = len(primary_domain)

                curr_ax.plot(primary_domain, upper_membership_function, color='blue')
                curr_ax.plot(primary_domain, lower_membership_function, color='blue')

                curr_ax.fill_between(primary_domain, upper_membership_function, lower_membership_function, color = "grey",alpha = 0.3)

                # # X axis ticks
                # x_ticks = np.linspace(0, self.divs-1 ,self.divs)
                # x_diff = (primary_domain[len(primary_domain)-1] - primary_domain[0]) / (self.divs-1)
                # x_label = ((x_ticks * x_diff)+primary_domain[0])
                # x_formatted_label =  ['%.2f' % elem for elem in x_label]
                # curr_ax.set_xticks(x_ticks * (x_array_res / (self.divs-1)))
                # curr_ax.set_xticklabels(x_formatted_label)

                curr_ax.set_xlabel('x')
                curr_ax.set_ylabel('u')

Methods

def plot(self, curr_ax)

Plots a general type-2 fuzzy set as an image

Arguments:

ax – the axis for this plot row – the row where this plot is placed col – the column where this row is placed

Expand source code

def plot(self, curr_ax):
        '''
        Plots a general type-2 fuzzy set as an image

        Arguments:
        ----------
        ax -- the axis for this plot
        row -- the row where this plot is placed
        col -- the column where this row is placed
        '''
        # and set them as current axis
        # curr_ax = ax[row,col]

        primary_domain = self._intervaltype2set.primary_domain()
        upper_membership_function = self._intervaltype2set.higher_membership_function()
        lower_membership_function = self._intervaltype2set.lower_membership_function()

        x_array_res = len(primary_domain)

        curr_ax.plot(primary_domain, upper_membership_function, color='blue')
        curr_ax.plot(primary_domain, lower_membership_function, color='blue')

        curr_ax.fill_between(primary_domain, upper_membership_function, lower_membership_function, color = "grey",alpha = 0.3)

        # # X axis ticks
        # x_ticks = np.linspace(0, self.divs-1 ,self.divs)
        # x_diff = (primary_domain[len(primary_domain)-1] - primary_domain[0]) / (self.divs-1)
        # x_label = ((x_ticks * x_diff)+primary_domain[0])
        # x_formatted_label =  ['%.2f' % elem for elem in x_label]
        # curr_ax.set_xticks(x_ticks * (x_array_res / (self.divs-1)))
        # curr_ax.set_xticklabels(x_formatted_label)

        curr_ax.set_xlabel('x')
        curr_ax.set_ylabel('u')