fl.Sigmoid("c", 0.830, 30.000)
]
),
fl.OutputVariable(
name="ZSShapes",
description="",
enabled=True,
minimum=0.000,
maximum=1.000,
lock_range=False,
aggregation=None,
defuzzifier=fl.WeightedAverage("Automatic"),
lock_previous=False,
terms=[
fl.ZShape("b", 0.300, 0.600),
fl.SShape("a", 0.000, 0.250),
fl.SShape("c", 0.700, 1.000)
]
),
fl.OutputVariable(
name="Concaves",
description="",
enabled=True,
minimum=0.000,
maximum=1.000,
lock_range=False,
aggregation=None,
defuzzifier=fl.WeightedAverage("Automatic"),
lock_previous=False,
terms=[
fl.Concave("b", 0.500, 0.400),
import fuzzylite as fl
engine = fl.Engine(name="sltbu_fl", description="")
engine.input_variables = [
fl.InputVariable(name="distance",
description="",
enabled=True,
minimum=0.000,
maximum=25.000,
lock_range=False,
terms=[
fl.ZShape("near", 1.000, 2.000),
fl.SShape("far", 1.000, 2.000)
]),
fl.InputVariable(name="control1",
description="",
enabled=True,
minimum=-0.785,
maximum=0.785,
lock_range=False),
fl.InputVariable(name="control2",
description="",
enabled=True,
minimum=-0.785,
maximum=0.785,
lock_range=False)
]
engine.output_variables = [
fl.OutputVariable(name="control",
description="",
enabled=True,
)
]
engine.output_variables = [
fl.OutputVariable(
name="steer",
description="direction to steer the vehicle to",
enabled=True,
minimum=0.000000000,
maximum=1.000000000,
lock_range=False,
aggregation=fl.Maximum(),
defuzzifier=fl.Centroid(100),
lock_previous=False,
terms=[
fl.ZShape("left", 0.000000000, 1.000000000),
fl.SShape("right", 0.000000000, 1.000000000)
]
)
]
engine.rule_blocks = [
fl.RuleBlock(
name="steer_away",
description="steer away from obstacles",
enabled=True,
conjunction=None,
disjunction=None,
implication=fl.Minimum(),
activation=fl.General(),
rules=[
fl.Rule.create("if obstacle is left then steer is right", engine),
fl.Rule.create("if obstacle is right then steer is left", engine)
enabled=True,
minimum=0.500,
maximum=1.500,
lock_range=False,
terms=[
fl.ZShape("mf1", 0.500, 0.600),
fl.PiShape("mf2", 0.500, 0.600, 0.600, 0.700),
fl.PiShape("mf3", 0.600, 0.700, 0.700, 0.800),
fl.PiShape("mf4", 0.700, 0.800, 0.800, 0.900),
fl.PiShape("mf5", 0.800, 0.900, 0.900, 1.000),
fl.PiShape("mf6", 0.900, 1.000, 1.000, 1.100),
fl.PiShape("mf7", 1.000, 1.100, 1.100, 1.200),
fl.PiShape("mf8", 1.100, 1.200, 1.200, 1.300),
fl.PiShape("mf9", 1.200, 1.300, 1.300, 1.400),
fl.PiShape("mf10", 1.300, 1.400, 1.400, 1.500),
fl.SShape("mf11", 1.400, 1.500)
])
]
engine.output_variables = [
fl.OutputVariable(
name="out",
description="",
enabled=True,
minimum=-10.000,
maximum=10.000,
lock_range=False,
aggregation=None,
defuzzifier=fl.WeightedAverage("TakagiSugeno"),
lock_previous=False,
terms=[
fl.Linear("outmf1", [
fl.Discrete("H", [
2.000, 0.000, 2.250, 1.000, 2.500, 0.500, 2.750,
1.000, 3.000, 0.000
]),
fl.Gaussian("I", 3.000, 0.200),
fl.Cosine("J", 3.250, 0.650),
fl.GaussianProduct("K", 3.500, 0.100, 3.300, 0.300),
fl.Spike("L", 3.640, 1.040),
fl.Bell("M", 4.000, 0.250, 3.000),
fl.PiShape("N", 4.000, 4.500, 4.500, 5.000),
fl.Concave("O", 5.650, 6.250),
fl.SigmoidDifference("P", 4.750, 10.000, 30.000,
5.250),
fl.SigmoidProduct("Q", 5.250, 20.000, -10.000, 5.750),
fl.Ramp("R", 5.500, 6.500),
fl.SShape("S", 5.500, 6.500),
fl.Sigmoid("T", 6.000, 20.000)
])
]
engine.output_variables = [
fl.OutputVariable(name="AllOutputTerms",
description="",
enabled=True,
minimum=0.000,
maximum=6.500,
lock_range=False,
aggregation=fl.Maximum(),
defuzzifier=fl.Centroid(200),
lock_previous=False,
terms=[
fl.Sigmoid("A", 0.500, -20.000),
import fuzzylite as fl
engine = fl.Engine(name="investment_portfolio", description="")
engine.input_variables = [
fl.InputVariable(name="Age",
description="",
enabled=True,
minimum=20.000,
maximum=100.000,
lock_range=False,
terms=[
fl.ZShape("Young", 30.000, 90.000),
fl.SShape("Old", 30.000, 90.000)
]),
fl.InputVariable(name="RiskTolerance",
description="",
enabled=True,
minimum=0.000,
maximum=10.000,
lock_range=False,
terms=[
fl.ZShape("Low", 2.000, 8.000),
fl.SShape("High", 2.000, 8.000)
])
]
engine.output_variables = [
fl.OutputVariable(name="PercentageInStocks",
description="",
enabled=True,
minimum=0.000,
maximum=100.000,