diff --git a/fuzzy_logic/gaussian_fuzzyset.py b/fuzzy_logic/gaussian_fuzzyset.py
deleted file mode 100644
index 8ca8947d9..000000000
--- a/fuzzy_logic/gaussian_fuzzyset.py
+++ /dev/null
@@ -1,93 +0,0 @@
-"""
-By @Shreya123714
-
-https://en.wikipedia.org/wiki/Fuzzy_set
-https://en.wikipedia.org/wiki/Fuzzy_set_operations
-https://en.wikipedia.org/wiki/Membership_function_(mathematics)
-"""
-
-from __future__ import annotations
-from dataclasses import dataclass
-import numpy as np
-import matplotlib.pyplot as plt
-
-@dataclass
-class GaussianFuzzySet:
-    """
-    A class for representing and manipulating Gaussian fuzzy sets.
-    
-    Attributes:
-        name: The name or label of the fuzzy set.
-        mean: The mean value (center) of the Gaussian fuzzy set.
-        std_dev: The standard deviation (controls the spread) of the Gaussian fuzzy set.
-        is_complement: Indicates whether this is the complement of the original fuzzy set.
-
-    Methods:
-        membership(x): Calculate the membership value of an input 'x' in the fuzzy set.
-        complement(): Create a new GaussianFuzzySet instance representing the complement.
-        plot(): Plot the membership function of the fuzzy set.
-        
-    >>> fuzzy_set = GaussianFuzzySet("Medium Temperature", mean=25, std_dev=5)
-    >>> fuzzy_set.membership(25)
-    1.0
-    >>> fuzzy_set.membership(30)
-    0.6065306597126334
-    >>> fuzzy_set.complement().membership(25)
-    0.0
-    """
-
-    name: str
-    mean: float
-    std_dev: float
-    is_complement: bool = False  # This flag indicates if it's the complement set
-
-    def membership(self, x: float) -> float:
-        """
-        Calculate the membership value of an input 'x' in the Gaussian fuzzy set.
-        If it's a complement set, returns 1 - the Gaussian membership.
-        
-        >>> GaussianFuzzySet("Medium", 0, 1).membership(0)
-        1.0
-        >>> GaussianFuzzySet("Medium", 0, 1).membership(1)
-        0.6065306597126334
-        """
-        membership_value = np.exp(-0.5 * ((x - self.mean) / self.std_dev) ** 2)
-        return 1 - membership_value if self.is_complement else membership_value
-
-    def complement(self) -> GaussianFuzzySet:
-        """
-        Create a new GaussianFuzzySet instance representing the complement.
-        
-        >>> GaussianFuzzySet("Medium", 0, 1).complement().membership(0)
-        0.0
-        """
-        return GaussianFuzzySet(f"¬{self.name}", self.mean, self.std_dev, is_complement=not self.is_complement)
-
-    def plot(self):
-        """
-        Plot the membership function of the Gaussian fuzzy set.
-        """
-        x = np.linspace(self.mean - 3 * self.std_dev, self.mean + 3 * self.std_dev, 1000)
-        y = [self.membership(xi) for xi in x]
-        plt.plot(x, y, label=self.name)
-        plt.xlabel("x")
-        plt.ylabel("Membership")
-        plt.legend()
-
-if __name__ == "__main__":
-    from doctest import testmod
-    testmod()
-
-    # Create an instance of GaussianFuzzySet
-    fuzzy_set = GaussianFuzzySet("Medium Temperature", mean=25, std_dev=5)
-
-    # Display some membership values
-    print(f"Membership at mean (25): {fuzzy_set.membership(25)}")
-    print(f"Membership at 30: {fuzzy_set.membership(30)}")
-    print(f"Complement Membership at mean (25): {fuzzy_set.complement().membership(25)}")
-
-    # Plot the Gaussian Fuzzy Set and its complement
-    fuzzy_set.plot()
-    fuzzy_set.complement().plot()
-    plt.title("Gaussian Fuzzy Set and its Complement")
-    plt.show()