Artificial Intelligence Fuzzy Logic MCQ
Fuzzy Logic MCQs : 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
View Answer
Ans : A
Explanation: Fuzzy Logic (FL) is a method of reasoning that resembles human reasoning.
2. What is the form of Fuzzy logic?
A. Two-valued logic
B. Crisp set logic
C. Many-valued logic
D. Binary set logic
View Answer
Ans : C
Explanation: With fuzzy logic set membership is defined by certain value. Hence it could have many values to be in the set.
3. How many output Fuzzy Logic produce?
A. 2
B. 3
C. 4
D. 5
View Answer
Ans : A
Explanation: The conventional logic block that a computer can understand takes precise input and produces a definite output as TRUE or FALSE, which is equivalent to human's YES or NO.
4. Who was the inventor of Fuzzy Logic?
A. doug cutting
B. John McCarthy
C. Lotfi Zadeh
D. John cutting
View Answer
Ans : C
Explanation: The inventor of fuzzy logic, Lotfi Zadeh
5. Fuzzy Logic can be implemented in?
A. Hardware
B. software
C. Both A and B
D. None of the Above
View Answer
Ans : C
Explanation: It can be implemented in hardware, software, or a combination of both.
6. Traditional set theory is also known as Crisp Set theory.
A. TRUE
B. FALSE
C. Traditional set theory is not there.
D. None of the Above
View Answer
Ans : A
Explanation: Traditional set theory set membership is fixed or exact either the member is in the set or not. There is only two crisp values true or false.
7. 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
View Answer
Ans : A
Explanation: Refer the definition of Fuzzy set and Crisp set.
8. Fuzzy logic is useful for both commercial and practical purposes.
A. True, False
B. True, True
C. False, False
D. False, True
View Answer
Ans : B
Explanation: Fuzzy logic is useful for commercial and practical purposes.
9. How many main parts are there in Fuzzy Logic Systems Architecture?
A. 3
B. 4
C. 5
D. 6
View Answer
Ans : B
Explanation: It has four main parts.
10. Which of the following is not a part of fuzzy logic Systems Architecture?
A. Fuzzification Module
B. Knowledge Base
C. Defuzzification Module
D. Interference base
View Answer
Ans : D
Explanation: Interference base is not a part of fuzzy logic Systems Architecture.
11. 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
View Answer
Ans : D
Explanation: each element of X is mapped to a value between 0 and 1. It is called membership value or degree of membership.
12. In Membership function graph x-axis represent?
A. universe of discourse.
B. degrees of membership in the [0, 1] interval
C. degrees of discourse
D. Universe of membership
View Answer
Ans : A
Explanation: x axis represents the universe of discourse.
13. How many level of fuzzifier is there?
A. 4
B. 5
C. 6
D. 7
View Answer
Ans : B
Explanation: There is 5 level to fuzzifier
14. Fuzzy logic is usually represented as ___________
A. IF-THEN-ELSE rules
B. IF-THEN rules
C. Both IF-THEN-ELSE rules & IF-THEN rules
D. None of the Above
View Answer
Ans : C
Explanation: Fuzzy logic is usually represented as Both IF-THEN-ELSE rules & IF-THEN rules
15. Fuzzy Set theory defines fuzzy operators. Choose the fuzzy operators from the following.
A. AND
B. OR
C. NOT
D. All of the above
View Answer
Ans : D
Explanation: The AND, OR, and NOT operators of Boolean logic exist in fuzzy logic, usually defined as the minimum, maximum, and complement;
16. The values of the set membership is represented by ___________
A. Discrete Set
B. Degree of truth
C. Probabilities
D. Both Degree of truth & Probabilities
View Answer
Ans : D
Explanation: Both Probabilities and degree of truth ranges between 0 to 1.
17. 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
View Answer
Ans : A
Explanation: Fuzzy logic deals with linguistic variables.
18. What action to take when IF temperature=(Hot OR Very_Hot) AND target=Warm THEN?
A. Heat
B. No_Change
C. Cool
D. None of the Above
View Answer
Ans : C
Explanation: IF temperature=(Hot OR Very_Hot) AND target=Warm THEN Cool
19. What action to take when IF (temperature=Warm) AND (target=Warm) THEN?
A. Heat
B. No_Change
C. Cool
D. None of the Above
View Answer
Ans : B
Explanation: IF (temperature=Warm) AND (target=Warm) THEN No_change
20. Which of the following is not Application Areas of Fuzzy Logic?
A. Automotive Systems
B. Domestic Goods
C. Domestic Control
D. Environment Control
View Answer
Ans : C
Explanation: Domestic Controlis not Application Areas of Fuzzy Logic
Discussion