2. 1. Traditional set theory is also known as Crisp Set theory.
a) True
b) False
Answer: 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. In case of
fuzzy logic there are many values. With weight say x the member is in the set.
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) Fuzzy & Crisp Set
d) None of the mentioned
Answer: a
Explanation: Fuzzy logic deals with linguistic variables.
3. 3. The values of the set membership is represented by ___________
a) Discrete Set
b) Degree of truth
c) Probabilities
d) Both Degree of truth & Probabilities
Answer: b
Explanation: Both Probabilities and degree of truth ranges between 0 – 1.
4. ______________ is/are the way/s to represent uncertainty.
a) Fuzzy Logic
b) Probability
c) Entropy
d) All of the mentioned
Answer: d
Explanation: Entropy is amount of uncertainty involved in data. Represented
by H(data).
4. 5. ____________ 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 the mentioned
Answer: c
Explanation: Local structure is usually associated with linear rather than
exponential growth in complexity.
6. A robot is a __________
a) Computer-controlled machine that mimics the motor activities of living things
b) Machine that thinks like a human
c) Machine that replaces a human by performing complex mental processing tasks
d) Type of virtual reality device that takes the place of humans in adventures
Answer: a
Explanation: Robots are computer-controlled machines that mimic the motor
activities of living things.
5. 7. Perception system robots are :
a) Act as a transportation system, like a “mail mobile”
b) Imitate some human senses
c) Perform manufacturing tasks like painting cars
d) Are another name for virtual reality
Answer: b
Explanation: Perception system robots imitate some of the human senses.
8. Robots used in automobile plants would be classified as :
a) Perception systems
b) Industrial robots
c) Mobile robots
d) Knowledge robots
Answer: b
Explanation: Industrial robots are used in automobile plants.
6. 9. What is the set generated using infinite-value membership functions,
called?
a) Crisp set
b) Boolean set
c) Fuzzy set
d) All of the mentioned
Answer: c
Explanation: It is called fuzzy set.
10. Which is the set, whose membership only can be true or false, in bi-
values Boolean logic?
a) Boolean set
b) Crisp set
c) Null set
d) None of the mentioned
Answer: b
Explanation: The so called Crisp set is the one in which membership only
can be true or false, in bi-values Boolean logic.
7. 11. If Z is a set of elements with a generic element z, i.e. Z = {z}, then this set is
called _____________
a) Universe set
b) Universe of discourse
c) Derived set
d) None of the mentioned
Answer: b
Explanation: It is called the universe of discourse.
12. A fuzzy set ‘A’ in Z is characterized by a ____________ that associates
with element of Z, a real number in the interval [0, 1].
a) Grade of membership
b) Generic element
c) Membership function
d) None of the mentioned
Answer: c
Explanation: A fuzzy set is characterized by a membership function.
8. 13. Which of the following is a type of Membership function?
a) Triangular
b) Trapezoidal
c) Sigma
d) All of the mentioned
Answer: d
Explanation: All of them are types of Membership functions.
14. Which of the following is not a type of Membership function?
a) S-shape
b) Bell shape
c) Truncated Gaussian
d) None of the mentioned
Answer: d
Explanation: All of the mentioned above are types of Membership
functions.
9. 15. Fuzzy Logic can be implemented in?
A.Hardware
B. software
C. Both A and B
D. None of the Above
Ans : C
Explanation: It can be implemented in hardware, software, or a combination of
both.
16. What action to take when IF (temperature=Warm) AND (target=Warm)
THEN?
A. Heat
B. No_Change
C. Cool
D. None of the Above
Ans : B
Explanation: IF (temperature=Warm) AND (target=Warm) THEN No_change
10. 17. The membership functions are generally represented in
A. Tabular Form
B. Graphical Form
C. Mathematical Form
D. Logical Form
Ans : B
18. Membership function can be thought of as a technique to solve
empirical problems on the basis of
A. Knowledge
B. Examples
C. Learning
D. Experience
Ans : D
11. 19. Three main basic features involved in characterizing membership
function are
A. Intuition, Inference, Rank Ordering
B. Fuzzy Algorithm, Neural network, Genetic Algorithm
C. Core, Support , Boundary
D. Weighted Average, center of Sums, Median
Ans : C
12. 20. The region of universe that is characterized by complete
membership in the set is called
A. Core
B. Support
C. Boundary
D. Fuzzy
Ans : A