Q. The values of the set membership is represented by
β
Correct Answer: (B)
degree of truth
Computer Engineering Soft Computing MCQs | Page - 11
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Q. Given U = {1,2,3,4,5,6,7} A = {(3, 0.7), (5, 1), (6, 0.8)} then A will be: (where ~ → complement)
β
Correct Answer: (C)
{(l, 1), (2, 1), (3, 0.3)
Q. If A and B are two fuzzy sets with membership functions
μA(x) = {0.6, 0.5, 0.1, 0.7, 0.8}
μB(x) = {0.9, 0.2, 0.6, 0.8, 0.5}
Then the value of μ(A∪B)’(x) will be
μA(x) = {0.6, 0.5, 0.1, 0.7, 0.8}
μB(x) = {0.9, 0.2, 0.6, 0.8, 0.5}
Then the value of μ(A∪B)’(x) will be
β
Correct Answer: (C)
{0.1, 0.5, 0.4, 0.2, 0.
Q. Compute the value of adding the following two fuzzy integers:
A = {(0.3,1), (0.6,2), (1,3), (0.7,4), (0.2,5)} B = {(0.5,11), (1,12), (0.5,13)}
Where fuzzy addition is defined as
μA+B(z) = maxx+y=z (min(μA(x), μB(x))) Then, f(A+B) is equal to
A = {(0.3,1), (0.6,2), (1,3), (0.7,4), (0.2,5)} B = {(0.5,11), (1,12), (0.5,13)}
Where fuzzy addition is defined as
μA+B(z) = maxx+y=z (min(μA(x), μB(x))) Then, f(A+B) is equal to
β
Correct Answer: (D)
{(0.3,12), (0.5,13), (0.6
Q. A U (B U C) =
β
Correct Answer: (B)
(a ∪ b ) ∪ c
Q. Consider a fuzzy set A defined on the interval X = [0, 10] of integers by the membership Junction μA(x) = x / (x+2) Then the α cut corresponding to α = 0.5 will be
β
Correct Answer: (C)
{2, 3, 4, 5, 6, 7, 8, 9,
Q. The fuzzy proposition "IF X is E then Y is F" is a
β
Correct Answer: (A)
conditional unqualifi
Q. Choose the correct statement
1. A fuzzy set is a crisp set but the reverse is not true
2. If A,B and C are three fuzzy sets defined over the same universe of discourse such that A ≤ B and B ≤ C and A ≤ C
3. Membership function defines the fuzziness in a fuzzy set irrespecive of the elements in the set, which are discrete or continuous
1. A fuzzy set is a crisp set but the reverse is not true
2. If A,B and C are three fuzzy sets defined over the same universe of discourse such that A ≤ B and B ≤ C and A ≤ C
3. Membership function defines the fuzziness in a fuzzy set irrespecive of the elements in the set, which are discrete or continuous
β
Correct Answer: (B)
2 and 3
Q. An equivalence between Fuzzy vs Probability to that of Prediction vs Forecasting is
β
Correct Answer: (B)
fuzzy ≈ forecastin
Q. Both fuzzy logic and artificial neural network are soft computing techniques because
β
Correct Answer: (C)
in each, no precise
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