fuzzy_logic.fuzzy_operations ============================ .. py:module:: fuzzy_logic.fuzzy_operations .. autoapi-nested-parse:: By @Shreya123714 https://en.wikipedia.org/wiki/Fuzzy_set Attributes ---------- .. autoapisummary:: fuzzy_logic.fuzzy_operations.a Classes ------- .. autoapisummary:: fuzzy_logic.fuzzy_operations.FuzzySet Module Contents --------------- .. py:class:: FuzzySet A class for representing and manipulating triangular fuzzy sets. Attributes: name: The name or label of the fuzzy set. left_boundary: The left boundary of the fuzzy set. peak: The peak (central) value of the fuzzy set. right_boundary: The right boundary of the fuzzy set. Methods: membership(x): Calculate the membership value of an input 'x' in the fuzzy set. union(other): Calculate the union of this fuzzy set with another fuzzy set. intersection(other): Calculate the intersection of this fuzzy set with another. complement(): Calculate the complement (negation) of this fuzzy set. plot(): Plot the membership function of the fuzzy set. >>> sheru = FuzzySet("Sheru", 0.4, 1, 0.6) >>> sheru FuzzySet(name='Sheru', left_boundary=0.4, peak=1, right_boundary=0.6) >>> str(sheru) 'Sheru: [0.4, 1, 0.6]' >>> siya = FuzzySet("Siya", 0.5, 1, 0.7) >>> siya FuzzySet(name='Siya', left_boundary=0.5, peak=1, right_boundary=0.7) # Complement Operation >>> sheru.complement() FuzzySet(name='¬Sheru', left_boundary=0.4, peak=0.6, right_boundary=0) >>> siya.complement() # doctest: +NORMALIZE_WHITESPACE FuzzySet(name='¬Siya', left_boundary=0.30000000000000004, peak=0.5, right_boundary=0) # Intersection Operation >>> siya.intersection(sheru) FuzzySet(name='Siya ∩ Sheru', left_boundary=0.5, peak=0.6, right_boundary=1.0) # Membership Operation >>> sheru.membership(0.5) 0.16666666666666663 >>> sheru.membership(0.6) 0.0 # Union Operations >>> siya.union(sheru) FuzzySet(name='Siya U Sheru', left_boundary=0.4, peak=0.7, right_boundary=1.0) .. py:method:: __str__() -> str >>> FuzzySet("fuzzy_set", 0.1, 0.2, 0.3) FuzzySet(name='fuzzy_set', left_boundary=0.1, peak=0.2, right_boundary=0.3) .. py:method:: complement() -> FuzzySet Calculate the complement (negation) of this fuzzy set. Returns: FuzzySet: A new fuzzy set representing the complement. >>> FuzzySet("fuzzy_set", 0.1, 0.2, 0.3).complement() FuzzySet(name='¬fuzzy_set', left_boundary=0.7, peak=0.9, right_boundary=0.8) .. py:method:: intersection(other) -> FuzzySet Calculate the intersection of this fuzzy set with another fuzzy set. Args: other: Another fuzzy set to intersect with. Returns: A new fuzzy set representing the intersection. >>> FuzzySet("a", 0.1, 0.2, 0.3).intersection(FuzzySet("b", 0.4, 0.5, 0.6)) FuzzySet(name='a ∩ b', left_boundary=0.4, peak=0.3, right_boundary=0.35) .. py:method:: membership(x: float) -> float Calculate the membership value of an input 'x' in the fuzzy set. Returns: The membership value of 'x' in the fuzzy set. >>> a = FuzzySet("a", 0.1, 0.2, 0.3) >>> a.membership(0.09) 0.0 >>> a.membership(0.1) 0.0 >>> a.membership(0.11) 0.09999999999999995 >>> a.membership(0.4) 0.0 >>> FuzzySet("A", 0, 0.5, 1).membership(0.1) 0.2 >>> FuzzySet("B", 0.2, 0.7, 1).membership(0.6) 0.8 .. py:method:: plot() Plot the membership function of the fuzzy set. .. py:method:: union(other) -> FuzzySet Calculate the union of this fuzzy set with another fuzzy set. Args: other (FuzzySet): Another fuzzy set to union with. Returns: FuzzySet: A new fuzzy set representing the union. >>> FuzzySet("a", 0.1, 0.2, 0.3).union(FuzzySet("b", 0.4, 0.5, 0.6)) FuzzySet(name='a U b', left_boundary=0.1, peak=0.6, right_boundary=0.35) .. py:attribute:: left_boundary :type: float .. py:attribute:: name :type: str .. py:attribute:: peak :type: float .. py:attribute:: right_boundary :type: float .. py:data:: a