"""README, Author - Jigyasa Gandhi(mailto:jigsgandhi97@gmail.com) Requirements: - scikit-fuzzy - numpy - matplotlib Python: - 3.5 """ # Create universe of discourse in python using linspace () import numpy as np X = np.linspace(start=0, stop=75, num=75, endpoint=True, retstep=False) # Create two fuzzy sets by defining any membership function (trapmf(), gbellmf(),gaussmf(), etc). import skfuzzy as fuzz abc1=[0,25,50] abc2=[25,50,75] young = fuzz.membership.trimf(X,abc1) middle_aged = fuzz.membership.trimf(X,abc2) # Compute the different operations using inbuilt functions. one = np.ones(75) zero = np.zeros((75,)) #1. Union = max(µA(x), µB(x)) union = fuzz.fuzzy_or(X, young, X, middle_aged)[1] #2. Intersection = min(µA(x), µB(x)) intersection = fuzz.fuzzy_and(X, young, X, middle_aged)[1] #3. Complement (A) = (1- min(µA(x)) complement_a = fuzz.fuzzy_not(young) #4. Difference (A/B) = min(µA(x),(1- µB(x))) difference = fuzz.fuzzy_and(X, young, X, fuzz.fuzzy_not(middle_aged)[1])[1] #5. Algebraic Sum = [µA(x) + µB(x) – (µA(x) * µB(x))] alg_sum = young + middle_aged - (young*middle_aged) #6. Algebraic Product = (µA(x) * µB(x)) alg_product = young*middle_aged #7. Bounded Sum = min[1,(µA(x), µB(x))] bdd_sum = fuzz.fuzzy_and(X, one, X, young+middle_aged)[1] #8. Bounded difference = min[0,(µA(x), µB(x))] bdd_difference = fuzz.fuzzy_or(X, zero, X, young-middle_aged)[1] #max-min composition #max-product composition # Plot each set A, set B and each operation result using plot() and subplot(). import matplotlib.pyplot as plt plt.figure() plt.subplot(4,3,1) plt.plot(X,young) plt.title("Young") plt.grid(True) plt.subplot(4,3,2) plt.plot(X,middle_aged) plt.title("Middle aged") plt.grid(True) plt.subplot(4,3,3) plt.plot(X,union) plt.title("union") plt.grid(True) plt.subplot(4,3,4) plt.plot(X,intersection) plt.title("intersection") plt.grid(True) plt.subplot(4,3,5) plt.plot(X,complement_a) plt.title("complement_a") plt.grid(True) plt.subplot(4,3,6) plt.plot(X,difference) plt.title("difference a/b") plt.grid(True) plt.subplot(4,3,7) plt.plot(X,alg_sum) plt.title("alg_sum") plt.grid(True) plt.subplot(4,3,8) plt.plot(X,alg_product) plt.title("alg_product") plt.grid(True) plt.subplot(4,3,9) plt.plot(X,bdd_sum) plt.title("bdd_sum") plt.grid(True) plt.subplot(4,3,10) plt.plot(X,bdd_difference) plt.title("bdd_difference") plt.grid(True) plt.subplots_adjust(hspace = 0.5) plt.show()