def plot_cough_mf():
IT2FS_plot(
Cough_neg,
Cough_pos,
title="Cough",
legends=["Negative", "Positive"],
)
def plot_additional_mf():
IT2FS_plot(
Add_low,
Add_high,
title="Additional Risks",
legends=["Low", "High"],
)
def plot_breathdiff_mf():
IT2FS_plot(
BreathDiff_low,
BreathDiff_mod,
BreathDiff_extr,
title="Breathing Difficulty",
legends=["Low", "Moderate", "High"],
)
def plot_risk_mf():
IT2FS_plot(
Risk_low,
Risk_high,
Risk_veryhigh,
title="Overall Risk",
legends=["Unlikely", "Likely", "Extremely Likely"],
)
def plot_fever_mf():
IT2FS_plot(
Fever_low,
Fever_mod,
Fever_high,
title="Fever",
legends=["Low", "Moderate", "High"],
)
def plot(self, root_path: str) -> NoReturn:
IT2FS_plot(
self.antecedent['Velocity']['very_slow'],
self.antecedent['Velocity']['slow'],
self.antecedent['Velocity']['normal'],
self.antecedent['Velocity']['fast'],
self.antecedent['Velocity']['very_fast'],
title='Velocity',
legends=['Very Slow', 'Slow', 'Normal', 'Fast', 'Very Fast'],
filename=os.path.join(root_path, 'antecedent_velocity.png'))
IT2FS_plot(self.antecedent['Acceleration']['small'],
self.antecedent['Acceleration']['medium'],
self.antecedent['Acceleration']['large'],
title='Acceleration',
legends=['Small', 'Medium', 'Large'],
filename=os.path.join(root_path,
'antecedent_acceleration.png'))
IT2FS_plot(self.antecedent['Deceleration']['small'],
self.antecedent['Deceleration']['medium'],
self.antecedent['Deceleration']['large'],
title='Deceleration',
legends=['Small', 'Medium', 'Large'],
filename=os.path.join(root_path,
'antecedent_deceleration.png'))
IT2FS_plot(self.antecedent['LateralJerk']['small'],
self.antecedent['LateralJerk']['medium'],
self.antecedent['LateralJerk']['large'],
title='LateralJerk',
legends=['Small', 'Medium', 'Large'],
filename=os.path.join(root_path,
'antecedent_lateral_std_jerk.png'))
IT2FS_plot(self.consequent['DrivingStyle']['calm'],
self.consequent['DrivingStyle']['moderate'],
self.consequent['DrivingStyle']['aggressive'],
title='Driving Style',
legends=['Calm', 'Moderate', 'Aggressive'],
filename=os.path.join(root_path,
'consequent_driving_stye.png'))
@author: arslan
"""
from pyit2fls import TSK, IT2FS_Gaussian_UncertStd, IT2FS_plot, \
product_t_norm, max_s_norm
from numpy import linspace
from time import time
domain = linspace(0., 1., 100)
Small = IT2FS_Gaussian_UncertStd(domain, [0, 0.15, 0.1, 1.])
Medium = IT2FS_Gaussian_UncertStd(domain, [0.5, 0.15, 0.1, 1.])
Large = IT2FS_Gaussian_UncertStd(domain, [1., 0.15, 0.1, 1.])
IT2FS_plot(Small, Medium, Large, title="Sets",
legends=["Small", "Medium", "Large"])
myIT2FLS = TSK(product_t_norm, max_s_norm)
myIT2FLS.add_input_variable("x1")
myIT2FLS.add_input_variable("x2")
myIT2FLS.add_output_variable("y1")
myIT2FLS.add_output_variable("y2")
myIT2FLS.add_rule([("x1", Small), ("x2", Small)],
[("y1", {"const":0.5, "x1":1., "x2":2.3}),
("y2", {"const":1., "x1":1.2, "x2":1.5})])
myIT2FLS.add_rule([("x1", Medium), ("x2", Medium)],
[("y1", {"const":1., "x1":2.7, "x2":1.9}),
("y2", {"const":1., "x1":2.5, "x2":2.})])
myIT2FLS.add_rule([("x1", Large), ("x2", Large)],
from pyit2fls import IT2FLS, IT2FS_Gaussian_UncertStd, IT2FS_plot, \
min_t_norm, max_s_norm, TR_plot, crisp
from numpy import linspace
#domain = linspace(0., 1., 100)
domain = linspace(-1., 1., 100)
'''
Small = IT2FS_Gaussian_UncertStd(domain, [0, 0.15, 0.1])
Medium = IT2FS_Gaussian_UncertStd(domain, [0.5, 0.15, 0.1])
Large = IT2FS_Gaussian_UncertStd(domain, [1., 0.15, 0.1])
'''
S = IT2FS_Gaussian_UncertStd(domain, [-1., 0.15, 0.1])
Z = IT2FS_Gaussian_UncertStd(domain, [0., 0.15, 0.1])
B = IT2FS_Gaussian_UncertStd(domain, [1., 0.15, 0.1])
IT2FS_plot(S, Z, B, legends=["S", "Z", "B"], filename="x1_simp_ex_sets")
SS = IT2FS_Gaussian_UncertStd(domain, [-1., 0.15, 0.1])
ZZ = IT2FS_Gaussian_UncertStd(domain, [0, 0.15, 0.1])
BB = IT2FS_Gaussian_UncertStd(domain, [1., 0.15, 0.1])
IT2FS_plot(SS, ZZ, BB, legends=["SS", "ZZ", "BB"], filename="x2_simp_ex_sets")
A1 = IT2FS_Gaussian_UncertStd(domain, [-1, 0.15, 0.1])
A2 = IT2FS_Gaussian_UncertStd(domain, [0, 0.15, 0.1])
A3 = IT2FS_Gaussian_UncertStd(domain, [1., 0.15, 0.1])
IT2FS_plot(A1, A2, A3, legends=["A1", "A2", "A3"], filename="y1_simp_ex_sets")
B1 = IT2FS_Gaussian_UncertStd(domain, [-1., 0.15, 0.1])
B2 = IT2FS_Gaussian_UncertStd(domain, [-0.75,0.15, 0.1])
B3 = IT2FS_Gaussian_UncertStd(domain, [-0.5, 0.15, 0.1])
B4 = IT2FS_Gaussian_UncertStd(domain, [-0.25, 0.15, 0.1])
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed May 15 02:40:21 2019
@author: arslan
"""
from pyit2fls import IT2FLS, IT2FS_Gaussian_UncertStd, IT2FS_plot, \
min_t_norm, max_s_norm, TR_plot, crisp
from pyit2fls import IT2FS, trapezoid_mf, tri_mf, zero_mf
from numpy import linspace
#domain = linspace(0., 1., 100)
domain = linspace(-1., 1., 100)
'''
Small = IT2FS_Gaussian_UncertStd(domain, [0, 0.15, 0.1])
Medium = IT2FS_Gaussian_UncertStd(domain, [0.5, 0.15, 0.1])
Large = IT2FS_Gaussian_UncertStd(domain, [1., 0.15, 0.1])
IT2FS_plot(Small, Medium, Large, legends=["Small", "Medium", "large"], filename="asb(x1,x2)_ex_sets")
S = IT2FS_Gaussian_UncertStd(domain, [0, 0.15, 0.1])
M = IT2FS_Gaussian_UncertStd(domain, [0.5, 0.15, 0.1])
L = IT2FS_Gaussian_UncertStd(domain, [1., 0.15, 0.1])
IT2FS_plot(S, M, L, legends=["S", "M", "L"], filename="y1_ex_sets")
myIT2FLS = IT2FLS()
myIT2FLS.add_input_variable("x1")
myIT2FLS.add_input_variable("x2")
myIT2FLS.add_output_variable("y1")
#myIT2FLS.add_output_variable("y2")
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed May 15 02:40:21 2019
@author: arslan
"""
from pyit2fls import IT2FLS, IT2FS_Gaussian_UncertStd, IT2FS_plot, \
min_t_norm, max_s_norm, TR_plot, crisp
from pyit2fls import IT2FS, trapezoid_mf, tri_mf, zero_mf
from numpy import linspace
#domain = linspace(0., 1., 100)
domain = linspace(-1., 1., 100)
NB = IT2FS_Gaussian_UncertStd(domain, [0, 0.25, 0.05])
IT2FS_plot(NB, filename="1")
# IT2FS_plot(NB, NS, PS,PB, legends=["NB", "NS", "PS","PB"], filename="asb(x1,x2)_ex_sets")
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Apr 9 20:10:33 2021
@author: arslan
"""
from pyit2fls import (IT2FS_Gaussian_UncertMean, IT2_Emphasize, IT2FS_plot,
T1FS, gaussian_mf, T1_Emphasize, T1FS_plot)
from numpy import linspace
domain = linspace(0., 1., 101)
IT2mySet = IT2FS_Gaussian_UncertMean(domain, [0.5, 0.1, 0.2, 1.],
check_set=True)
IT2Emphasized_mySet = IT2_Emphasize(IT2mySet, m=3.)
IT2FS_plot(IT2mySet, IT2Emphasized_mySet, legends=["Simple", "Emphasized"])
T1mySet = T1FS(domain, mf=gaussian_mf, params=[0.5, 0.1, 1.])
T1Emphasized_mySet = T1_Emphasize(T1mySet, m=3.)
T1FS_plot(T1mySet, T1Emphasized_mySet, legends=["Simple", "Emphasized"])
drastic_t_norm, nilpotent_minimum_t_norm, hamacher_product_t_norm
from numpy import linspace
domain = linspace(-1., 7., 8001)
A1 = IT2FS_Gaussian_UncertMean(domain, [0., 0.2, 0.5, 1.])
A2 = IT2FS_Gaussian_UncertMean(domain, [1., 0.2, 0.5, 1.])
A3 = IT2FS_Gaussian_UncertMean(domain, [2., 0.2, 0.5, 1.])
A4 = IT2FS_Gaussian_UncertMean(domain, [3., 0.2, 0.5, 1.])
A5 = IT2FS_Gaussian_UncertMean(domain, [4., 0.2, 0.5, 1.])
A6 = IT2FS_Gaussian_UncertMean(domain, [5., 0.2, 0.5, 1.])
A7 = IT2FS_Gaussian_UncertMean(domain, [6., 0.2, 0.5, 1.])
IT2FS_plot(
A1,
A2,
A3,
A4,
A5,
A6,
A7,
title="Sets",
legends=["Set 1", "Set 2", "Set 3", "Set 4", "Set 5", "Set 6", "Set 7"])
M1 = meet(domain, A1, A2, min_t_norm)
M2 = meet(domain, A2, A3, product_t_norm)
M3 = meet(domain, A3, A4, lukasiewicz_t_norm)
M4 = meet(domain, A4, A5, drastic_t_norm)
M5 = meet(domain, A5, A6, nilpotent_minimum_t_norm)
M6 = meet(domain, A6, A7, hamacher_product_t_norm)
IT2FS_plot(M1,
M2,
M3,
[ 0.3, -0.3, 0.0],
[ 0.2, -0.3, 0.0],
[ 0.2, 0.0, 0.0]])
decisions = array([1, 0, 1, 0, 0, 1])
def error(p):
myClassifier = Classifier(attributes, decisions, p)
return myClassifier.error()
mySolver= PyPSO(error, 5, 100, parametersGenerator, velocityGenerator)
mySolver.solve()
p = mySolver.best_known_position
myClassifier = Classifier(attributes, decisions, p)
IT2FS_plot(myClassifier.att1_s1, myClassifier.att1_s2, myClassifier.att1_s3)
IT2FS_plot(myClassifier.att2_s1, myClassifier.att2_s2, myClassifier.att2_s3)
IT2FS_plot(myClassifier.att3_s1, myClassifier.att3_s2, myClassifier.att3_s3)
IT2FS_plot(myClassifier.deci_s1, myClassifier.deci_s2)
print(myClassifier.error())
@author: arslan
"""
from pyit2fls import IT2FLS, IT2FS_Gaussian_UncertStd, IT2FS_plot, \
min_t_norm, max_s_norm, TR_plot, crisp
from numpy import linspace
domain = linspace(0., 1., 100)
Small = IT2FS_Gaussian_UncertStd(domain, [0, 0.15, 0.1, 1.])
Medium = IT2FS_Gaussian_UncertStd(domain, [0.5, 0.15, 0.1, 1.])
Large = IT2FS_Gaussian_UncertStd(domain, [1., 0.15, 0.1, 1.])
IT2FS_plot(Small,
Medium,
Large,
legends=["Small", "Medium", "large"],
filename="simp_ex_sets")
myIT2FLS = IT2FLS()
myIT2FLS.add_input_variable("x1")
myIT2FLS.add_input_variable("x2")
myIT2FLS.add_output_variable("y1")
myIT2FLS.add_output_variable("y2")
myIT2FLS.add_rule([("x1", Small), ("x2", Small)], [("y1", Small),
("y2", Large)])
myIT2FLS.add_rule([("x1", Medium), ("x2", Medium)], [("y1", Medium),
("y2", Small)])
myIT2FLS.add_rule([("x1", Large), ("x2", Large)], [("y1", Large),
("y2", Small)])
drastic_s_norm, nilpotent_maximum_s_norm, einstein_sum_s_norm
from numpy import linspace
domain = linspace(-1., 7., 8001)
A1 = IT2FS_Gaussian_UncertMean(domain, [0., 0.2, 0.25, 1.])
A2 = IT2FS_Gaussian_UncertMean(domain, [1., 0.2, 0.25, 1.])
A3 = IT2FS_Gaussian_UncertMean(domain, [2., 0.2, 0.25, 1.])
A4 = IT2FS_Gaussian_UncertMean(domain, [3., 0.2, 0.25, 1.])
A5 = IT2FS_Gaussian_UncertMean(domain, [4., 0.2, 0.25, 1.])
A6 = IT2FS_Gaussian_UncertMean(domain, [5., 0.2, 0.25, 1.])
A7 = IT2FS_Gaussian_UncertMean(domain, [6., 0.2, 0.25, 1.])
IT2FS_plot(
A1,
A2,
A3,
A4,
A5,
A6,
A7,
title="Sets",
legends=["Set 1", "Set 2", "Set 3", "Set 4", "Set 5", "Set 6", "Set 7"])
M1 = join(domain, A1, A2, max_s_norm)
M2 = join(domain, A2, A3, probabilistic_sum_s_norm)
M3 = join(domain, A3, A4, bounded_sum_s_norm)
M4 = join(domain, A4, A5, drastic_s_norm)
M5 = join(domain, A5, A6, nilpotent_maximum_s_norm)
M6 = join(domain, A6, A7, einstein_sum_s_norm)
IT2FS_plot(M1,
M2,
M3,
# -*- coding: utf-8 -*-
"""
Created on Wed May 15 02:40:21 2019
@author: arslan
"""
from pyit2fls import IT2FLS, IT2FS_Gaussian_UncertStd, IT2FS_plot, \
min_t_norm, max_s_norm, TR_plot, crisp
from pyit2fls import IT2FS, trapezoid_mf, tri_mf
from numpy import linspace
import numpy as np
#domain = linspace(0., 1., 100)
domain = linspace(-1., 1., 100)
'''
Small = IT2FS_Gaussian_UncertStd(domain, [0, 0.15, 0.1])
Medium = IT2FS_Gaussian_UncertStd(domain, [0.5, 0.15, 0.1])
Large = IT2FS_Gaussian_UncertStd(domain, [1., 0.15, 0.1])
IT2FS_plot(Small, Medium, Large, legends=["Small", "Medium", "large"], filename="asb(x1,x2)_ex_sets")
S = IT2FS_Gaussian_UncertStd(domain, [0, 0.15, 0.1])
M = IT2FS_Gaussian_UncertStd(domain, [0.5, 0.15, 0.1])
L = IT2FS_Gaussian_UncertStd(domain, [1., 0.15, 0.1])
IT2FS_plot(S, M, L, legends=["S", "M", "L"], filename="y1_ex_sets")
myIT2FLS = IT2FLS()
myIT2FLS.add_input_variable("x1")
myIT2FLS.add_input_variable("x2")
myIT2FLS.add_output_variable("y1")
#myIT2FLS.add_output_variable("y2")
[0.1, 0.5, 0.9, 0.8],
)
Medium.plot(filename="Medium")
Large = IT2FS(
domain,
tri_mf,
[0, 0.5, 1., 1.],
tri_mf,
[0.1, 0.5, 0.9, 0.8],
)
Large.plot(filename="Large")
S = IT2FS_Gaussian_UncertStd(domain, [0, 0.15, 0.1])
M = IT2FS_Gaussian_UncertStd(domain, [0.5, 0.15, 0.1])
L = IT2FS_Gaussian_UncertStd(domain, [1., 0.15, 0.1])
IT2FS_plot(S, M, L, legends=["S", "M", "L"], filename="y1_ex_sets")
myIT2FLS = IT2FLS()
myIT2FLS.add_input_variable("x1")
myIT2FLS.add_input_variable("x2")
myIT2FLS.add_output_variable("y1")
#myIT2FLS.add_output_variable("y2")
myIT2FLS.add_rule([("x1", Small), ("x2", Small)], [("y1", S)])
myIT2FLS.add_rule([("x1", Small), ("x2", Medium)], [("y1", S)])
myIT2FLS.add_rule([("x1", Small), ("x2", Large)], [("y1", M)])
myIT2FLS.add_rule([("x1", Medium), ("x2", Small)], [("y1", S)])
myIT2FLS.add_rule([("x1", Medium), ("x2", Medium)], [("y1", M)])
myIT2FLS.add_rule([("x1", Medium), ("x2", Large)], [("y1", L)])
Tri = IT2FS(domain,
tri_mf, [0.1, 0.5, 0.9, 1],
tri_mf, [0.3, 0.5, 0.7, 0.7],
check_set=True)
RTri = IT2FS(domain,
rtri_mf, [0.85, 0.2, 1],
rtri_mf, [0.75, 0.1, 1.],
check_set=True)
LTri = IT2FS(domain,
ltri_mf, [0.15, 0.8, 1],
ltri_mf, [0.25, 0.9, 1.],
check_set=True)
IT2FS_plot(Const, Tri, legends=["Const Set", "Triangular Set"])
IT2FS_plot(RTri, LTri, legends=["Right Triangular Set", "Left Triangular Set"])
Trapezoid = IT2FS(domain,
trapezoid_mf, [0.1, 0.35, 0.65, 0.9, 1.0],
trapezoid_mf, [0.2, 0.4, 0.6, 0.8, 0.8],
check_set=True)
Trapezoid.plot(legend_text="Trapezoid IT2FS")
Gaussian = IT2FS(domain,
gaussian_mf, [0.5, 0.1, 1.0],
gaussian_mf, [0.5, 0.05, 0.8],
check_set=True)
Gaussian.plot(legend_text="Gaussian IT2FS")
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 14 18:56:00 2019
@author: arslan
"""
from pyit2fls import IT2FS_Gaussian_UncertMean, IT2FS_plot, meet, \
join, min_t_norm, max_s_norm
from numpy import linspace
domain = linspace(0., 1., 100)
A = IT2FS_Gaussian_UncertMean(domain, [0., 0.1, 0.1, 1.])
B = IT2FS_Gaussian_UncertMean(domain, [0.33, 0.1, 0.1, 1.])
C = IT2FS_Gaussian_UncertMean(domain, [0.66, 0.1, 0.1, 1.])
IT2FS_plot(A, B, C, title="", legends=["Small","Medium","Large"], filename="multiSet")
AB = meet(domain, A, B, min_t_norm)
AB.plot(filename="meet")
BC = join(domain, B, C, max_s_norm)
BC.plot(filename="join")
Small2 = IT2FS_Gaussian_UncertStd(domain2, [2., 0.15, 0.05, 1.]) # Defining the Medium set for the input variable x1. Medium1 = IT2FS_Gaussian_UncertStd(domain1, [1.5, 0.15, 0.05, 1.]) # Defining the Medium set for the input variable x2. Medium2 = IT2FS_Gaussian_UncertStd(domain2, [2.5, 0.15, 0.05, 1.]) # Defining the Large set for the input variable x1. Large1 = IT2FS_Gaussian_UncertStd(domain1, [2., 0.15, 0.05, 1.]) # Defining the Large set for the input variable x1. Large2 = IT2FS_Gaussian_UncertStd(domain2, [3., 0.15, 0.05, 1.]) # Plotting the sets defined for the input variable x1. IT2FS_plot(Small1, Medium1, Large1, legends=["Small", "Medium", "large"]) # Plotting the sets defined for the input variable x1. IT2FS_plot(Small2, Medium2, Large2, legends=["Small", "Medium", "large"]) # Defining the Low set for the output variable y1 Low1 = IT2FS_Gaussian_UncertStd(domain3, [3., 0.1, 0.05, 1.]) # Defining the Low set for the output variable y2 Low2 = IT2FS_Gaussian_UncertStd(domain4, [4., 0.1, 0.05, 1.]) # Defining the High set for the output variable y1 High1 = IT2FS_Gaussian_UncertStd(domain3, [4., 0.1, 0.05, 1.]) # Defining the High set for the output variable y2 High2 = IT2FS_Gaussian_UncertStd(domain4, [5., 0.1, 0.05, 1.])
def u_dot(t):
# return 0
a = 10
return (a if 1. < t < (1. + 1. / a) else 0)
# %% Interval Type 2 Fuzzy PID Codes ...
domain = linspace(-1., 1., 201)
N = IT2FS_Gaussian_UncertStd(domain, [-1., 0.5, 0.1, 1.])
Z = IT2FS_Gaussian_UncertStd(domain, [0., 0.2, 0.025, 1.])
P = IT2FS_Gaussian_UncertStd(domain, [1., 0.5, 0.1, 1.])
IT2FS_plot(N,
Z,
P,
legends=["Negative", "Zero", "Positive"],
filename="delay_pid_input_sets")
NB = IT2FS_Gaussian_UncertStd(domain, [-1., 0.1, 0.05, 1.])
NM = IT2FS_Gaussian_UncertStd(domain, [-0.5, 0.1, 0.05, 1.])
ZZ = IT2FS_Gaussian_UncertStd(domain, [0., 0.1, 0.05, 1.])
PM = IT2FS_Gaussian_UncertStd(domain, [0.5, 0.1, 0.05, 1.])
PB = IT2FS_Gaussian_UncertStd(domain, [1., 0.1, 0.05, 1.])
IT2FS_plot(NB,
NM,
ZZ,
PM,
PB,
legends=[
"Negative Big", "Negative Medium", "Zero", "Positive Medium",
min_t_norm, max_s_norm, TR_plot, crisp from numpy import linspace #domain = linspace(0., 1., 100) domain = linspace(-1., 1., 100) ''' Small = IT2FS_Gaussian_UncertStd(domain, [0, 0.15, 0.1]) Medium = IT2FS_Gaussian_UncertStd(domain, [0.5, 0.15, 0.1]) Large = IT2FS_Gaussian_UncertStd(domain, [1., 0.15, 0.1]) ''' NS = IT2FS_Gaussian_UncertStd(domain, [-1., 0.15, 0.1]) NB = IT2FS_Gaussian_UncertStd(domain, [-0.5, 0.15, 0.1]) ZO = IT2FS_Gaussian_UncertStd(domain, [0., 0.15, 0.1]) PS = IT2FS_Gaussian_UncertStd(domain, [0.5, 0.15, 0.1]) PB = IT2FS_Gaussian_UncertStd(domain, [1., 0.15, 0.1]) IT2FS_plot(NS, NB, ZO,PS,PB, legends=["NS", "NB", "ZO", "PS", "PB"], filename="simp_ex_sets") A1 = IT2FS_Gaussian_UncertStd(domain, [-1, 0.15, 0.1]) A2 = IT2FS_Gaussian_UncertStd(domain, [0, 0.15, 0.1]) A3 = IT2FS_Gaussian_UncertStd(domain, [1., 0.15, 0.1]) IT2FS_plot(A1, A2, A3, legends=["A1", "A2", "A3"], filename="y1_simp_ex_sets") B1 = IT2FS_Gaussian_UncertStd(domain, [-1., 0.15, 0.1]) B2 = IT2FS_Gaussian_UncertStd(domain, [-0.25,0.15, 0.1]) B3 = IT2FS_Gaussian_UncertStd(domain, [-0.5, 0.15, 0.1]) B4 = IT2FS_Gaussian_UncertStd(domain, [0, 0.15, 0.1]) B5 = IT2FS_Gaussian_UncertStd(domain, [0.25, 0.15, 0.1]) B6 = IT2FS_Gaussian_UncertStd(domain, [0.5, 0.15, 0.1]) B7 = IT2FS_Gaussian_UncertStd(domain, [1., 0.15, 0.1]) IT2FS_plot(B1, B2, B3,B4,B5,B6,B7, legends=["B1", "B2", "B3", "B4", "B5", "B6", "B7"], filename="y2_simp_ex_sets")