Artificial Intelligence MCQs with Answers
Practice important Artificial Intelligence MCQs with answers and explanations.
Chapter: 30
Q921:
The fuzzy rule "If service is excellent or food is delicious then tip is generous" uses which operator in the antecedent?
A. AND
B. OR
C. NOT
D. XOR
Correct Answer:
B
Chapter: 30
Q922:
The rule "If x is A then y is B" is a part of which type of logic?
A. Boolean
B. Fuzzy
C. Binary
D. Linear
Correct Answer:
B
Chapter: 30
Q923:
The fuzzy value of a linguistic variable is always between 0 and _______.
A. 5
B. 10
C. 1
D. 100
Correct Answer:
C
Chapter: 30
Q924:
In fuzzy rule execution, if the antecedent is FALSE, what happens to the consequent?
A. Ignored
B. Applied fully
C. Assigned 1
D. Truncated
Correct Answer:
A
Chapter: 30
Q925:
In fuzzy representation, the point where the membership value is maximum is typically called the _______.
A. Root
B. Mean
C. Peak
D. Base
Correct Answer:
C
Chapter: 30
Q926:
The triangular distribution is used in fuzzy sets because it ________.
A. Has steep curves
B. Handles exceptions best
C. Represents average population well
D. Supports crisp values
Correct Answer:
C
Chapter: 30
Q927:
What is the purpose of the implication method in fuzzy logic?
A. To defuzzify data
B. To modify output fuzzy set
C. To fuzzify inputs
D. To calculate min value
Correct Answer:
B
Chapter: 30
Q928:
What is the output of a fuzzy rule system before defuzzification?
A. Crisp value
B. Boolean value
C. Fuzzy set
D. Numeric constant
Correct Answer:
C
Chapter: 30
Q929:
Which step involves converting crisp values into fuzzy sets?
A. Defuzzification
B. Aggregation
C. Fuzzification
D. Normalization
Correct Answer:
C
Chapter: 30
Q930:
What is the role of logical operators in fuzzy rule antecedents?
A. Combine multiple rules
B. Convert outputs
C. Resolve to a single support value
D. None of the above
Correct Answer:
C
Chapter: 30
Q931:
How is a single output fuzzy set created from multiple rule outputs?
A. Fuzzify
B. Aggregate
C. Normalize
D. Activate
Correct Answer:
B
Chapter: 30
Q932:
The concept of fuzzy logic is more suitable than binary logic when dealing with ________.
A. Hardware
B. Precision only
C. Uncertainty and approximation
D. Simple algorithms
Correct Answer:
C
Chapter: 31
Q933:
What does a fuzzy inference system (FIS) do?
A. Maps fuzzy input to crisp output
B. Maps crisp input to fuzzy output
C. Maps multiple rules to a database
D. Handles only crisp logic
Correct Answer:
A
Chapter: 31
Q934:
Fuzzy inference systems are used in which of the following areas?
A. Automatic control
B. Medical surgery
C. Quantum computing
D. Genetic research
Correct Answer:
A
Chapter: 31
Q935:
Fuzzy inference systems are also known as ______.
A. Neural networks
B. Rule-based expert systems
C. Fuzzy rule-based systems
D. Hybrid computing systems
Correct Answer:
C
Chapter: 31
Q936:
Which of the following is the most commonly used fuzzy inference method?
A. Zadeh's method
B. Takagi-Sugeno method
C. Mamdani’s method
D. FuzzBoost
Correct Answer:
C
Chapter: 31
Q937:
Who proposed Mamdani’s fuzzy inference method?
A. Ebrahim Mamdani
B. Lofti Zadeh
C. John McCarthy
D. Alan Turing
Correct Answer:
A
Chapter: 31
Q938:
Mamdani’s fuzzy method was developed to control ______.
A. Electric car engine
B. Gas turbine
C. Steam engine and boiler
D. Factory robots
Correct Answer:
C
Chapter: 31
Q939:
What year was Mamdani’s method proposed?
A. 1973
B. 1975
C. 1980
D. 1990
Correct Answer:
B
Chapter: 31
Q940:
Which of the following papers inspired Mamdani’s fuzzy method?
A. AI and Control by Turing
B. Fuzzy Algorithms for Complex Systems by Zadeh
C. Fuzzy Robotics by McCarthy
D. Fuzzy Memory Mapping by Mamdani
Correct Answer:
B