Artificial Intelligence Fuzzy Logic MCQ

This section focuses on "Fuzzy Logic" in Artificial Intelligence. These Multiple Choice Questions (mcq) should be practiced to improve the AI skills required for various interviews (campus interviews, walk-in interviews, company interviews), placements, entrance exams and other competitive examinations.

1. What is Fuzzy Logic?

A. a method of reasoning that resembles human reasoning
B. a method of question that resembles human answer
C. a method of giving answer that resembles human answer.
D. None of the Above

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2. How many output Fuzzy Logic produce?

A. 2
B. 3
C. 4
D. 5

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3. Fuzzy Logic can be implemented in?

A. Hardware
B. software
C. Both A and B
D. None of the Above

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4. The truth values of traditional set theory is ____________ and that of fuzzy set is __________

A. Either 0 or 1, between 0 & 1
B. Between 0 & 1, either 0 or 1
C. Between 0 & 1, between 0 & 1
D. Either 0 or 1, either 0 or 1

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5. How many main parts are there in Fuzzy Logic Systems Architecture?

A. 3
B. 4
C. 5
D. 6

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6. Each element of X is mapped to a value between 0 and 1. It is called _____.

A. membership value
B. degree of membership
C. membership value
D. Both A and B

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7. How many level of fuzzifier is there?

A. 4
B. 5
C. 6
D. 7

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8. Fuzzy Set theory defines fuzzy operators. Choose the fuzzy operators from the following.

D. All of the above

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9. The room temperature is hot. Here the hot (use of linguistic variable is used) can be represented by _______

A. Fuzzy Set
B. Crisp Set
C. Both A and B
D. None of the Above

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10. What action to take when IF (temperature=Warm) AND (target=Warm) THEN?

A. Heat
B. No_Change
C. Cool
D. None of the Above

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