def cost_func(x):
A1 = IT2FS_Gaussian_UncertStd(domain, np.append(x[:3], 1))
A2 = IT2FS_Gaussian_UncertStd(domain, np.append(x[3:6], 1))
A3 = IT2FS_Gaussian_UncertStd(domain, np.append(x[6:9], 1))
B1 = IT2FS_Gaussian_UncertStd(domain, np.append(x[9:12], 1))
B2 = IT2FS_Gaussian_UncertStd(domain, np.append(x[12:15], 1))
B3 = IT2FS_Gaussian_UncertStd(domain, np.append(x[15:18], 1))
C1 = IT2FS_Gaussian_UncertStd(domain, np.append(x[18:21], 1))
C2 = IT2FS_Gaussian_UncertStd(domain, np.append(x[21:24], 1))
C3 = IT2FS_Gaussian_UncertStd(domain, np.append(x[24:27], 1))
O1 = IT2FS_Gaussian_UncertStd(domain, np.append(x[27:30], 1))
O2 = IT2FS_Gaussian_UncertStd(domain, np.append(x[30:33], 1))
O3 = IT2FS_Gaussian_UncertStd(domain, np.append(x[33:36], 1))
it2fls = IT2FLS()
it2fls.add_input_variable("A")
it2fls.add_input_variable("B")
it2fls.add_input_variable("C")
it2fls.add_output_variable("O")
it2fls.add_rule([("A", A1), ("B", B1), ("C", C1)], [("O", O1)])
#it2fls.add_rule([("A", A2), ("B", B2), ("C", C2)], [("O", O2)])
#it2fls.add_rule([("A", A3), ("B", B3), ("C", C3)], [("O", O3)])
#it2fls.add_rule([("A", A1), ("B", B1), ("C", C1)], [("O", O1)])
it2fls.add_rule([("A", A2), ("B", B2), ("C", C2)], [("O", O2)])
#it2fls.add_rule([("A", A3), ("B", B3), ("C", C3)], [("O", O3)])
#it2fls.add_rule([("A", A1), ("B", B1), ("C", C1)], [("O", O1)])
#it2fls.add_rule([("A", A2), ("B", B2), ("C", C2)], [("O", O2)])
it2fls.add_rule([("A", A3), ("B", B3), ("C", C3)], [("O", O3)])
err = 0
for L in LearningSet:
tr = it2fls.evaluate({
"A": L[0][0],
"B": L[0][1],
"C": L[0][2]
},
min_t_norm,
max_s_norm,
domain,
method="Height",
algorithm="EIASC")
o = tr["O"]
err += ((o[0] + o[1]) / 2 - L[1])**2
return err / len(LearningSet)
def calculate(x, i):
A1 = IT2FS_Gaussian_UncertStd(domain, np.append(x[:3], 1))
A2 = IT2FS_Gaussian_UncertStd(domain, np.append(x[3:6], 1))
A3 = IT2FS_Gaussian_UncertStd(domain, np.append(x[6:9], 1))
B1 = IT2FS_Gaussian_UncertStd(domain, np.append(x[9:12], 1))
B2 = IT2FS_Gaussian_UncertStd(domain, np.append(x[12:15], 1))
B3 = IT2FS_Gaussian_UncertStd(domain, np.append(x[15:18], 1))
C1 = IT2FS_Gaussian_UncertStd(domain, np.append(x[18:21], 1))
C2 = IT2FS_Gaussian_UncertStd(domain, np.append(x[21:24], 1))
C3 = IT2FS_Gaussian_UncertStd(domain, np.append(x[24:27], 1))
O1 = IT2FS_Gaussian_UncertStd(domain, np.append(x[27:30], 1))
O2 = IT2FS_Gaussian_UncertStd(domain, np.append(x[30:33], 1))
O3 = IT2FS_Gaussian_UncertStd(domain, np.append(x[33:36], 1))
it2fls = IT2FLS()
it2fls.add_input_variable("A")
it2fls.add_input_variable("B")
it2fls.add_input_variable("C")
it2fls.add_output_variable("O")
it2fls.add_rule([("A", A1), ("B", B1), ("C", C1)], [("O", O1)])
#it2fls.add_rule([("A", A2), ("B", B2), ("C", C2)], [("O", O2)])
#it2fls.add_rule([("A", A3), ("B", B3), ("C", C3)], [("O", O3)])
#it2fls.add_rule([("A", A1), ("B", B1), ("C", C1)], [("O", O1)])
it2fls.add_rule([("A", A2), ("B", B2), ("C", C2)], [("O", O2)])
#it2fls.add_rule([("A", A3), ("B", B3), ("C", C3)], [("O", O3)])
#it2fls.add_rule([("A", A1), ("B", B1), ("C", C1)], [("O", O1)])
#it2fls.add_rule([("A", A2), ("B", B2), ("C", C2)], [("O", O2)])
it2fls.add_rule([("A", A3), ("B", B3), ("C", C3)], [("O", O3)])
tr = it2fls.evaluate({
"A": i[0],
"B": i[1],
"C": i[2]
},
min_t_norm,
max_s_norm,
domain,
method="Height",
algorithm="EIASC")
o = tr["O"]
return (o[0] + o[1]) / 2
def build_rules(self, rules_dir: str) -> IT2FLS:
assert os.path.exists(rules_dir),\
('[Fuzzy Logic System T2 model][build_rules][ERROR]'
' rules_dir not found!{}').format(rules_dir)
rules_files = os.listdir(rules_dir)
#build fuzz logic system (type 2)
fuzz_inf = IT2FLS()
fuzz_inf.add_input_variable('Velocity')
fuzz_inf.add_input_variable('Acceleration')
fuzz_inf.add_input_variable('Deceleration')
fuzz_inf.add_input_variable('LateralJerk')
fuzz_inf.add_output_variable('DrivingStyle')
#get rules
rules = None
if self.expert_mode == 'single':
rules_files[0] = 'rules_0.csv'
print('[Fuzzy Logic System T2 mode][build rules]', end='')
print(f' single expert system! (rule:{rules_files[0]})')
rules = self._single_expert_rules(
os.path.join(rules_dir, rules_files[0]))
elif self.expert_mode == 'multiple':
print('[Fuzzy Logic System - T2][build_rules]', end='')
print(f' multiple expert system: (n_e: {len(rules_files)})')
rules = self._multiple_expert_rules(rules_files,
root_dir=rules_dir)
else:
assert False,\
('[Fuzzy Logic System T2 model][build_rules][ERROR]'
' expert_mode invalid! {}').format(self.expert_mode)
assert rules is not None,\
('[Fuzzy Logic System T2 model][build_rules][ERROR]'
' error while building rules..')
for rule in rules:
fuzz_inf.add_rule(rule[0], rule[1])
return fuzz_inf
def IT2FL_v2_fun(x):
# print("chenggong")
domain = linspace(-1, 1., 100)
NB = IT2FS_Gaussian_UncertStd(domain, [-1, 0.15, 0.1])
NS = IT2FS_Gaussian_UncertStd(domain, [-0.5, 0.15, 0.1])
MM = 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(NB, NS, MM,PS,PB, legends=["NB", "NS", "NN","PS","PB"], filename="v1_input_$y")
LB = IT2FS_Gaussian_UncertStd(domain, [-1, 0.15, 0.1])
LS = IT2FS_Gaussian_UncertStd(domain, [-0.5, 0.15, 0.1])
ZO = IT2FS_Gaussian_UncertStd(domain, [0, 0.15, 0.1])
RS = IT2FS_Gaussian_UncertStd(domain, [0.5, 0.15, 0.1])
RB = IT2FS_Gaussian_UncertStd(domain, [1., 0.15, 0.1])
# IT2FS_plot(GB,GS,ZO,BS,BB, legends=["GB", "GS", "ZO","BS","BB"], filename="V1_output")
#输入和输出都只有一个，输入为y方向的偏离值，输出为速度大小即前进或者后退的快慢
myIT2FLS = IT2FLS()
myIT2FLS.add_input_variable("x1")
myIT2FLS.add_output_variable("y1")
myIT2FLS.add_rule([("x1", NB)], [("y1", LB)])
myIT2FLS.add_rule([("x1", NS)], [("y1", LS)])
myIT2FLS.add_rule([("x1", MM)], [("y1", ZO)])
myIT2FLS.add_rule([("x1", PS)], [("y1", RS)])
myIT2FLS.add_rule([("x1", PB)], [("y1", RB)])
it2out, tr = myIT2FLS.evaluate({"x1": x}, min_t_norm, max_s_norm, domain)
# it2out["y1"].plot(filename="y1_out")
# TR_plot(domain, tr["y1"], filename="y1_tr")
print("v2_output:", crisp(tr["y1"]))
if crisp(tr["y1"]) < 0:
print("速度方向：左转", crisp(tr["y1"]) * 90)
elif crisp(tr["y1"]) == 0:
print("速度方向：0")
else:
print("速度方向：右转", crisp(tr["y1"]) * 90)
return (crisp(tr["y1"]) * 90)
def IT2FL_fun(x, y):
# print("chenggong")
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")
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)])
myIT2FLS.add_rule([("x1", Large), ("x2", Small)], [("y1", M)])
myIT2FLS.add_rule([("x1", Large), ("x2", Medium)], [("y1", L)])
myIT2FLS.add_rule([("x1", Large), ("x2", Large)], [("y1", L)])
# it2out, tr = myIT2FLS.evaluate({"x1":0.6, "x2":0.8}, min_t_norm, max_s_norm, domain)
it2out, tr = myIT2FLS.evaluate({
"x1": x,
"x2": y
}, min_t_norm, max_s_norm, domain)
# it2out["y1"].plot(filename="y1_out")
# TR_plot(domain, tr["y1"], filename="y1_tr")
print("v1_output:", crisp(tr["y1"]))
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",
"Positive Big"
],
filename="delay_pid_output_sets")
it2fls = IT2FLS()
it2fls.add_input_variable("I1") # E
it2fls.add_input_variable("I2") # dot E
it2fls.add_output_variable("O")
it2fls.add_rule([("I1", N), ("I2", N)], [("O", NB)])
it2fls.add_rule([("I1", N), ("I2", Z)], [("O", NM)])
it2fls.add_rule([("I1", N), ("I2", P)], [("O", ZZ)])
it2fls.add_rule([("I1", Z), ("I2", N)], [("O", NM)])
it2fls.add_rule([("I1", Z), ("I2", Z)], [("O", ZZ)])
it2fls.add_rule([("I1", Z), ("I2", P)], [("O", NM)])
it2fls.add_rule([("I1", P), ("I2", N)], [("O", ZZ)])
it2fls.add_rule([("I1", P), ("I2", Z)], [("O", PM)])
it2fls.add_rule([("I1", P), ("I2", P)], [("O", PB)])
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)])
it2out, tr = myIT2FLS.evaluate({
"x1": 0.9,
"x2": 0.9
def calculate_FLS(cough_inp, fever_inp, breath_inp, age, env_inp,
hypertension_inp, diabetes_inp, cardiovascular_inp,
respiratory_inp, immune_inp):
severity = linspace(0.0, 10.0, 100)
# For IT2FS_Gaussian_UncertMean, the parameters define:
# 1 - The tip of the center point of the curve
# 2 - The width of the lower curve (higher value = lower width)
# 3 - The height of the lower curve (higher value = higher tip)
# 4 - The height of the center point of the outer curve.
Cough_neg = IT2FS(severity, trapezoid_mf, [0., 0.001, 3, 7, 1.0], tri_mf,
[0, 0.001, 2, 0.5])
Cough_pos = IT2FS(severity, trapezoid_mf, [5, 8, 9.999, 10, 1.0], tri_mf,
[8.5, 9.999, 10, 0.5])
Fever_low = IT2FS_Gaussian_UncertMean(severity, [0, 2.65, 1, 1.0])
Fever_mod = IT2FS_Gaussian_UncertMean(severity, [5, 2.65, 1, 1.0])
Fever_high = IT2FS_Gaussian_UncertMean(severity, [10, 2.65, 1, 1.0])
BreathDiff_low = IT2FS_Gaussian_UncertMean(severity, [0, 1.75, 1, 1.0])
BreathDiff_mod = IT2FS_Gaussian_UncertMean(severity, [5, 2.5, 1, 1.0])
BreathDiff_extr = IT2FS_Gaussian_UncertMean(severity, [10, 1.75, 1, 1.0])
Add_low = IT2FS_Gaussian_UncertMean(severity, [0, 5, 2, 1.0])
Add_high = IT2FS_Gaussian_UncertMean(severity, [10, 5, 2, 1.0])
Risk_low = IT2FS_Gaussian_UncertMean(severity, [0, 3, 1, 1.0])
Risk_high = IT2FS_Gaussian_UncertMean(severity, [6.5, 2, 1, 1.0])
Risk_veryhigh = IT2FS_Gaussian_UncertMean(severity, [10.7, 1, 1, 1.0])
def plot_cough_mf():
IT2FS_plot(
Cough_neg,
Cough_pos,
title="Cough",
legends=["Negative", "Positive"],
)
def plot_fever_mf():
IT2FS_plot(
Fever_low,
Fever_mod,
Fever_high,
title="Fever",
legends=["Low", "Moderate", "High"],
)
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"],
)
plot_fever_mf()
plot_cough_mf()
plot_breathdiff_mf()
plot_additional_mf()
plot_risk_mf()
myIT2FLS = IT2FLS()
myIT2FLS.add_input_variable("cough")
myIT2FLS.add_input_variable("fever")
myIT2FLS.add_input_variable("breath")
myIT2FLS.add_input_variable("add")
myIT2FLS.add_output_variable("risk")
myIT2FLS.add_rule([("cough", Cough_neg), ("fever", Fever_low),
("breath", BreathDiff_low), ("add", Add_low)],
[("risk", Risk_low)])
myIT2FLS.add_rule([("cough", Cough_pos), ("fever", Fever_mod),
("breath", BreathDiff_low), ("add", Add_low)],
[("risk", Risk_low)])
myIT2FLS.add_rule([("cough", Cough_neg), ("fever", Fever_high),
("breath", BreathDiff_low), ("add", Add_low)],
[("risk", Risk_low)])
myIT2FLS.add_rule([("cough", Cough_neg), ("fever", Fever_high),
("breath", BreathDiff_low), ("add", Add_high)],
[("risk", Risk_low)])
myIT2FLS.add_rule([("cough", Cough_neg), ("fever", Fever_low),
("breath", BreathDiff_extr), ("add", Add_low)],
[("risk", Risk_high)])
myIT2FLS.add_rule([("cough", Cough_neg), ("fever", Fever_high),
("breath", BreathDiff_mod), ("add", Add_low)],
[("risk", Risk_high)])
myIT2FLS.add_rule([("cough", Cough_pos), ("fever", Fever_mod),
("breath", BreathDiff_mod), ("add", Add_high)],
[("risk", Risk_veryhigh)])
myIT2FLS.add_rule([("cough", Cough_pos), ("fever", Fever_low),
("breath", BreathDiff_extr), ("add", Add_high)],
[("risk", Risk_veryhigh)])
myIT2FLS.add_rule([("cough", Cough_pos), ("fever", Fever_mod),
("breath", BreathDiff_mod), ("add", Add_high)],
[("risk", Risk_veryhigh)])
myIT2FLS.add_rule([("cough", Cough_pos), ("fever", Fever_high),
("breath", BreathDiff_extr), ("add", Add_high)],
[("risk", Risk_veryhigh)])
# cough_inp = float(input("Enter severity of coughing, between 0 and 10: "))
# fever_inp = float(input("Enter severity of fever, between 0 and 10: "))
# breath_inp = float(input("Enter severity of breathing difficulty, between 0 and 10: "))
# print("Input age and other additional risk factors.")
add_inp = calc_additional_risks(age, env_inp, hypertension_inp,
diabetes_inp, cardiovascular_inp,
respiratory_inp, immune_inp)
it2out, tr = myIT2FLS.evaluate(
{
"cough": cough_inp,
"fever": fever_inp,
"breath": breath_inp,
"add": add_inp
},
min_t_norm,
max_s_norm,
severity,
method="Centroid",
algorithm="EKM")
print(tr)
print(it2out)
it2out["risk"].plot(title="Type-2 output MF converted to Type-1")
TR_plot(severity, tr["risk"])
print("Chance of C19 Infection: ", int((crisp(tr["risk"])) * 10), "%")
return int((crisp(tr["risk"])) * 10)
def IT2FL_v2(x,y):
#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")
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)])
myIT2FLS.add_rule([("x1", Large), ("x2", Small)], [("y1", M)])
myIT2FLS.add_rule([("x1", Large), ("x2", Medium)], [("y1", L)])
myIT2FLS.add_rule([("x1", Large), ("x2", Large)], [("y1", L)])
it2out, tr = myIT2FLS.evaluate({"x1":0.8, "x2":0.4}, min_t_norm, max_s_norm, domain)
it2out["y1"].plot(filename="y1_out")
TR_plot(domain, tr["y1"], filename="y1_tr")
print(crisp(tr["y1"]))
'''
NB = IT2FS_Gaussian_UncertStd(domain, [-1, 0.15, 0.1])
NS = 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(NB, NS, ZO,PS,PB, legends=["NB", "NS", "ZO","PS","PB"], filename="asb(x1,x2)_ex_sets")
LVB = IT2FS_Gaussian_UncertStd(domain, [-0.875, 0.15, 0.1])
LB = IT2FS_Gaussian_UncertStd(domain, [-0.625, 0.15, 0.1])
LS= IT2FS_Gaussian_UncertStd(domain, [-0.375, 0.15, 0.1])
LVS = IT2FS_Gaussian_UncertStd(domain, [-0.125, 0.15, 0.1])
Z = IT2FS_Gaussian_UncertStd(domain, [0, 0.15, 0.1])
RVS = IT2FS_Gaussian_UncertStd(domain, [0.125, 0.15, 0.1])
RS = IT2FS_Gaussian_UncertStd(domain, [0.375, 0.15, 0.1])
RB= IT2FS_Gaussian_UncertStd(domain, [0.625, 0.15, 0.1])
RVB = IT2FS_Gaussian_UncertStd(domain, [0.875, 0.15, 0.1])
# IT2FS_plot(LVB, LB, LS,LVS,Z,RVS,RS,RB,RVB, legends=["LVB", "LB", "LS","LVS","Z","RVS","RS","RB","RVB"], filename="y2_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", NB), ("x2", NB)], [("y2", LS)])
myIT2FLS.add_rule([("x1", NB), ("x2", NS)], [("y2", LS)])
myIT2FLS.add_rule([("x1", NB), ("x2", ZO)], [("y2", LS)])
myIT2FLS.add_rule([("x1", NB), ("x2", PS)], [("y2", LB)])
myIT2FLS.add_rule([("x1", NB), ("x2", PB)], [("y2", LVB)])
myIT2FLS.add_rule([("x1", NS), ("x2", NB)], [("y2", LVS)])
myIT2FLS.add_rule([("x1", NS), ("x2", NS)], [("y2", LS)])
myIT2FLS.add_rule([("x1", NS), ("x2", ZO)], [("y2", LS)])
myIT2FLS.add_rule([("x1", NS), ("x2", PS)], [("y2", LVB)])
myIT2FLS.add_rule([("x1", NS), ("x2", PB)], [("y2", LVB)])
myIT2FLS.add_rule([("x1", ZO), ("x2", NB)], [("y2", Z)])
myIT2FLS.add_rule([("x1", ZO), ("x2", NS)], [("y2", Z)])
myIT2FLS.add_rule([("x1", ZO), ("x2", ZO)], [("y2", Z)])
myIT2FLS.add_rule([("x1", ZO), ("x2", PS)], [("y2", LVB)])
myIT2FLS.add_rule([("x1", ZO), ("x2", PB)], [("y2", LVB)])
myIT2FLS.add_rule([("x1", PS), ("x2", NB)], [("y2", RVS)])
myIT2FLS.add_rule([("x1", PS), ("x2", NS)], [("y2", RS)])
myIT2FLS.add_rule([("x1", PS), ("x2", ZO)], [("y2", RB)])
myIT2FLS.add_rule([("x1", PS), ("x2", PS)], [("y2", RVB)])
myIT2FLS.add_rule([("x1", PS), ("x2", PB)], [("y2", RVB)])
myIT2FLS.add_rule([("x1", PB), ("x2", NB)], [("y2", RS)])
myIT2FLS.add_rule([("x1", PB), ("x2", NS)], [("y2", RS)])
myIT2FLS.add_rule([("x1", PB), ("x2", ZO)], [("y2", RB)])
myIT2FLS.add_rule([("x1", PB), ("x2", PS)], [("y2", RB)])
myIT2FLS.add_rule([("x1", PB), ("x2", PB)], [("y2", RVB)])
it2out, tr = myIT2FLS.evaluate({"x1":x, "x2":y}, min_t_norm, max_s_norm, domain)
print("v2_output:",crisp(tr["y2"]))
