Artificial Intelligence MCQs with Answers
Practice important Artificial Intelligence MCQs with answers and explanations.
Multiple Choice Questions
Q931: How is a single output fuzzy set created from multiple rule outputs?
- A: Fuzzify
- B: Aggregate
- C: Normalize
- D: Activate
View Answer
B
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
View Answer
C
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
View Answer
A
Q934: Fuzzy inference systems are used in which of the following areas?
- A: Automatic control
- B: Medical surgery
- C: Quantum computing
- D: Genetic research
View Answer
A
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
View Answer
C
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
View Answer
C
Q937: Who proposed Mamdani’s fuzzy inference method?
- A: Ebrahim Mamdani
- B: Lofti Zadeh
- C: John McCarthy
- D: Alan Turing
View Answer
A
Q938: Mamdani’s fuzzy method was developed to control ______.
- A: Electric car engine
- B: Gas turbine
- C: Steam engine and boiler
- D: Factory robots
View Answer
C
Q939: What year was Mamdani’s method proposed?
- A: 1973
- B: 1975
- C: 1980
- D: 1990
View Answer
B
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
View Answer
B