Artificial Intelligence (2180703) MCQs

MCQs of Statistical Reasoning

Showing 11 to 20 out of 30 Questions
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11.
What does the bayesian network provides?
(a) Complete description of the domain
(b) Partial description of the domain
(c) Complete description of the problem
(d) None of the mentioned
Answer:

Option (a)

12.
How the entries in the full joint probability distribution can be calculated?
(a) Using variables
(b) Using information
(c) Both Using variables & information
(d) None of the mentioned
Answer:

Option (b)

13.
How the bayesian network can be used to answer any query?
(a) Full distribution
(b) Joint distribution
(c) Partial distribution
(d) All of the mentioned
Answer:

Option (b)

14.
How the compactness of the bayesian network can be described?
(a) Locally structured
(b) Fully structured
(c) Partial structure
(d) All of the mentioned
Answer:

Option (a)

15.
What is the form of Fuzzy logic?
(a) Two-valued logic
(b) Crisp set logic
(c) Many-valued logic
(d) Binary set logic
Answer:

Option (c)

16.
Traditional set theory is also known as Crisp Set theory.
(a) TRUE
(b) FALSE
Answer:

Option (a)

17.
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
Answer:

Option (a)

18.
Fuzzy logic is extension of Crisp set with an extension of handling the concept of Partial Truth.
(a) TRUE
(b) FALSE
Answer:

Option (a)

19.
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:

Option (a)

20.
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:

Option (b)

Showing 11 to 20 out of 30 Questions
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