# NLC GET Electrical Fuzzy Systems MCQ PDF Part 1

NLC GET Electrical Fuzzy Systems MCQ PDF Part 1

1.Fuzzy logic is a form of

A. Two-valued logic
B. Crisp set logic
C. Many-valued logic
D. Binary set logic

2.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 of these
D. None of these

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

A. AND
B. OR
C. NOT
D. All of these

4.Fuzzy logic is usually represented as

A. IF-THEN-ELSE rules
B. IF-THEN rules
C. Both a & b
D. None of the mentioned

5.______________ is/are the way/s to represent uncertainty.

A. Fuzzy Logic
B. Probability
C. Entropy
D. All of these

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6.____________ are algorithms that learn from their more complex environments (hence eco) to generalize, approximate and simplify solution logic.

A. Fuzzy Relational DB
B. Ecorithms
C. Fuzzy Set
D. None of these

7.What is the form of Fuzzy logic

A. Two-valued logic
B. Crisp set logic
C. Many-valued logic
D. Binary set logic

8.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

9.The values of the set membership is represented by ___________

A. Discrete Set
B. Degree of truth
C. Probabilities
D. Both Degree of truth & Probabilities

10.There are also other operators, more linguistic in nature, called __________ that can be applied to fuzzy set theory.

A. Hedges
B. Lingual Variable
C. Fuzz Variable
D. None of the mentioned

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11.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

12.Which of the following is not Application Areas of Fuzzy Logic

A.Automotive Systems
B. Domestic Goods
C. Domestic Control
D. Environment Control

13.The values of the set membership is represented by ___________

A. Discrete Set
B. Degree of truth
C. Probabilities
D. Both Degree of truth & Probabilities

14.Who was the inventor of Fuzzy Logic

A. Doug cutting
B. John McCarthy
D. John cutting

15.How many output Fuzzy Logic produce

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

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

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

17.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

18.Fuzzy logic is useful for both commercial and practical purposes

A.True, False
B. True, True
C. False, False
D. False, True

19.What is Fuzzy Logic

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