NPTEL Introduction To Soft Computing Week 1 Assignment Answers 2025
1. Core of Soft computing is
a. Fuzzy computing, Neural computing, Evolutionary computing
b. Predicate logic and relational algebra
c. Dynamic programming and Neural network
d. Machine learning and Deep learning
Answer :- a
2. Which of the following best describes the range of values a fuzzy membership function can take on?
a. (0,1)
b. [0,1]
C. (0,1]
d. (-∞, ∞)
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3. What does the s-axis represent in a membership function graph?
a. Universe of discourse
b. Degrees of membership in the [0, 1] interval
c. Range of values of the fuzzy elements
d. None of the above
Answer :-
4. The room temperature is hot. Here, the hot (use of a linguistic variable) can be represented by
a. Fuzzy set
b. Crisp set
c. Both Fuzzy and Crisp set
d. None of the above
Answer :-
5.

Answer :-
6. Given two fuzzy sets A and B defined as follows.
A=hot climate with Ma (x)=0.6
B= cold climate with 4g (y)= 0.3
Then, the value of extreme climate is
a. 0.7
b. 0.6
с. 0.4
d. 0.3
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7. Which of the following is not the property of fuzzy?
a. Dilation
b. Associativity
c. Idempotence
d. Involution
Answer :-
8. A ^ B = B ^ A This property is called
a. Associativity
b. Distributivity
c. Commutativity
d. Transitivity
Answer :-
9. If A and B are two fuzzy sets with membership functions
uA (x) = {0.6, 0.5, 0.1, 0.7, 0.8}
uB (x) = {0.9,0.2, 0.6, 0.8, 0.5}
Then the value of u(A U B)'(x) will be
a. 10.9, 0.5, 0.6, 0.8, 0.8}
b. {0.6, 0.2, 0.1, 0.7, 0.5}
с. {0.1, 0.5, 0.4, 0.2, 0.2)
d. {0.1, 0.5, 0.4, 0.2, 0.3}
Answer :-
10. Which of the following is True?
a. Hard computing always requires fuzzy logic
b. Soft computing is always more computationally expensive
c. Hard computing is deterministic, while soft computing is probabilistic
d. Soft computing always provides precise solutions
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