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[pre-commit.ci] auto fixes from pre-commit.com hooks

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pre-commit-ci[bot] 2023-10-28 09:19:39 +00:00
parent de13593d4e
commit cacc1d104c
1 changed files with 20 additions and 11 deletions
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11
fuzzy_logic/fuzzy_operations.py
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@ -7,6 +7,7 @@ import numpy as np
Source: https://en.wikipedia.org/wiki/Fuzzy_set Source: https://en.wikipedia.org/wiki/Fuzzy_set
""" """
class FuzzySet: class FuzzySet:
""" """
A class for representing and A class for representing and
@ -46,6 +47,7 @@ class FuzzySet:
self.peak = peak # Peak value self.peak = peak # Peak value
self.right_boundary = right_boundary # Right boundary self.right_boundary = right_boundary # Right boundary
def membership(self, x): def membership(self, x):
""" """
Calculate the membership value of Calculate the membership value of
@ -61,6 +63,7 @@ def membership(self, x):
elif self.peak < x < self.right_boundary: elif self.peak < x < self.right_boundary:
return (self.right_boundary - x) / (self.right_boundary - self.peak) return (self.right_boundary - x) / (self.right_boundary - self.peak)
def union(self, other): def union(self, other):
""" """
Calculate the union of this fuzzy set Calculate the union of this fuzzy set
@ -103,6 +106,7 @@ def intersection(self, other):
(self.peak + other.peak) / 2, (self.peak + other.peak) / 2,
) )
def complement(self): def complement(self):
""" """
Calculate the complement (negation) of this fuzzy set. Calculate the complement (negation) of this fuzzy set.
@ -111,7 +115,10 @@ def complement(self):
FuzzySet: A new fuzzy set representing the complement. FuzzySet: A new fuzzy set representing the complement.
""" """
complement_name = f"¬{self.name}" complement_name = f"¬{self.name}"
return FuzzySet(complement_name, 1 - self.right_boundary, 1 - self.left_boundary, 1 - self.peak) return FuzzySet(
complement_name, 1 - self.right_boundary, 1 - self.left_boundary, 1 - self.peak
)
def plot(self): def plot(self):
""" """
@ -122,9 +129,11 @@ def plot(self):
plt.plot(x, y, label=self.name) plt.plot(x, y, label=self.name)
def __str__(self): def __str__(self):
return f"{self.name}: [{self.left_boundary}, {self.peak}, {self.right_boundary}]" return f"{self.name}: [{self.left_boundary}, {self.peak}, {self.right_boundary}]"
if __name__ == "__main__": if __name__ == "__main__":
A = FuzzySet("A", 0, 0.5, 1) A = FuzzySet("A", 0, 0.5, 1)
B = FuzzySet("B", 0.2, 0.7, 1) B = FuzzySet("B", 0.2, 0.7, 1)