for i in sorted(U.keys()):
if i not in s:
temp[i] = 0
else:
temp[i] = s[i]
del s
return temp
if __name__ == "__main__":
clear()
print("Fuzzy Logic: IF A THEN B ELSE C [ R = ( × B) ∪ (not A × C) ]\n")
# a is from universe A
A = get_universal_set("Universal A")
# getting all elements of universe A even with zero membership
a = get_set("A")
a = sort_Fuzzy_set(a, A)
neg_a = fuzzy_negation(a, A)
# b and c are from universe Y
Y = get_universal_set("Universal Y")
b = get_set("B")
b = sort_Fuzzy_set(b, Y)
c = get_set("C")
c = sort_Fuzzy_set(c, Y)
while True:
clear()
print("A")
print_set(a)
for i in lst2:
header += f"{i:^4}"
print(header)
# printing row by row
index = 0
for i in set1.keys():
string = f'{i}| '+' '.join(map(str,map(float,product[index])))
print('_'*len(string))
print(string)
index += 1
print('-'*40+'\n')
if __name__ == "__main__":
clear()
set1 = get_set()
print_set(set1)
set2 = get_set()
print_set(set2)
product = fuzz_product(set1, set2)
print_product(set1,set2,product)
print( "*" * 30)
"""
Example Input
2
a 0.4
b 0.6
3
clear = lambda: os.system('cls')
else:
clear = lambda: os.system('clear')
def lambda_cutset(set1, l):
new = defaultdict(float)
for i, v in set1.items():
if v >= l:
new[i] = v
return new
while True:
clear()
set1 = get_set()
print_set(set1)
lambda_value = float(input("Enter lambda value: "))
print("New Lambda Cut Set: \n")
print_set(lambda_cutset(set1, lambda_value))
input()
"""
Example Input
5
2
a 0.2
b 0.5
c 0.9
d 0.25
e 0.35
0.3
def intensify(fs):
for i, v in fs.items():
if v <= 0.5:
fs[i] = round(2 * v * v, 2)
else:
fs[i] = round(1 - 2 * (1 - v)**2, 2)
return fs
if __name__ == "__main__":
clear()
print("Fuzzy Rule Base System")
# define a set alpha
alpha = get_set("Alpha")
flag = True
while flag:
clear()
print("Alpha:")
print_set(alpha)
while flag:
print("1. Very α")
print("2. Very Very α")
print("3. Plus α")
print("4. Slightly α")
print("5. Minus α")
print("6. Intensify")
print("7. Not alpha")
def ask_query(query):
# sets dictionary contain many fuzzy sets used in dictionary
sets = {}
# split string and check words not in keyword
for q in query.split():
if q .lower() not in ['and','or','not','very','intensely','plus','minus','slightly']:
print(f"Define set: {q}")
sets[q] = get_set(q)
clear()
# small = OrderedDict({1:1, 2:0.8, 3:0.6, 4:0.4, 5:0.2})
# large = OrderedDict({1:0.2, 2:0.4, 3:0.6, 4:0.8, 5:1})
# seperate the string based on 'or' occurance
or_seperated = query.split('or')
# all values are set to 0 so that we can combine (using max operator) different or result
or_set = OrderedDict({1: 0, 2: 0, 3: 0, 4: 0, 5: 0})
# iterate on each component seperated in 'or' split
for q_or in or_seperated:
print('*'*50)
print("OR Clause: ",q_or)
# seperate each of the or query on 'and' occurance
and_seperated = q_or.strip().split('and')
# all values are set to 1 so that we can combine different and result
and_set = OrderedDict({1: 1, 2: 1, 3: 1, 4: 1, 5: 1})
# iterate on each of the and seperated query
for q_and in and_seperated:
print("\tAND Clause: ",q_and.strip())
# spliting or clause further by 'and' values
words = q_and.split()
# checking for not prefix in clause
if words[0] == 'not':
not_prefix = True
words.pop(0)
else:
not_prefix = False
if len(words) == 3:
if words[0] == 'very' and words[1] == 'very':
temp = very_very_alpha( sets[words[2]] )
elif len(words) == 2:
if words[0] == 'very':
temp = very_alpha( sets[words[1]] )
elif words[0] == 'plus':
temp = plus_alpha( sets[words[1]] )
elif words[0] == 'slightly' or words[0] == 'slight':
temp = Slightly_alpha( sets[words[1]] )
elif words[0] == 'minus':
temp = minus_alpha( sets[words[1]] )
elif words[0] == 'intensify':
temp = intensify( sets[words[1]] )
elif len(words) == 1:
temp = sets[words[0]]
# if not is present in brgining than obtaing negation
if not_prefix:
temp = not_alpha(temp)
for i,v in temp.items():
and_set[i] = min(and_set[i], v)
print("\nResult of this AND clause: ")
print_set(and_set)
for i,v in and_set.items():
or_set[i] = max(or_set[i], v)
print('*'*50)
print("\nFinal result: ")
print_set(or_set)
from Fuzzy_set import get_set, print_set
from Cartesian_product_fuzzy import get_set, print_set, fuzz_product, print_product
from Crisp_Relation_Composition import Min_Max_comp, Max_product_comp
import os
import sys
if os.name == 'nt':
clear = lambda: os.system('cls')
else:
clear = lambda: os.system('clear')
if __name__ == "__main__":
set1 = get_set("First")
set2 = get_set("Second")
set3 = get_set("Third")
while True:
clear()
# get 3 sets to make relation by cross product
print_set(set1)
print_set(set2)
print_set(set3)
# obtain cartesian product
prod1 = fuzz_product(set1, set2)
prod2 = fuzz_product(set2, set3)
print("Cartesian Product of set1 and set2: ")
print_product(set1, set2, prod1, 'set1', 'set2')
print("Cartesian Product of set2 and set3: ")
from collections import OrderedDict
import os
if os.name == 'nt':
clear = lambda: os.system('cls')
else:
clear = lambda: os.system('clear')
if __name__ == "__main__":
clear()
print("1. Calculate R = (A x B) U (not A x Y)")
print("2. Calculate B_prime = A_prime x R\n")
# a is from universe A
A = get_universal_set("Universal A")
# getting all elements of universe A even with zero membership
a = sort_Fuzzy_set(get_set("A"), A)
a_prime = sort_Fuzzy_set(get_set("A_Prime"), A)
neg_a = fuzzy_negation(a, A)
# b from universe Y
Y = get_universal_set("Universal Y")
b = sort_Fuzzy_set(get_set("B"), Y)
while True:
clear()
print("A:")
print_set(a)
print("Not A:")
print_set(neg_a)
print("A_Prime:")
print_set(a_prime)