Answer / charu chauhan

Partial description of the domain:
Every Bayesian network provides a complete description of the domain and has a joint probability distribution: In order to construct a Bayesian network with the correct structure for the domain, we need to choose parents for each node such that this property holds.

What is artificial intelligence fuzzy logic?

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 What is meant by probability density function? a) Probability distributions b) Continuous variable c) Discrete variable d) Probability distributions for Continuous variables

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How many types of random variables are available? a) 1 b) 2 c) 3 d) 4

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____________ 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

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Fuzzy logic is extension of Crisp set with an extension of handling the concept of Partial Truth. a) True b) False

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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

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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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Traditional set theory is also known as Crisp Set theory. a) True b) False

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Where does the Bayes rule can be used? a) Solving queries b) Increasing complexity c) Decreasing complexity d) Answering probabilistic query

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What is fuzzy logic implementation?

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Fuzzy logic is usually represented as a) IF-THEN-ELSE rules b) IF-THEN rules c) Both a & b d) None of the mentioned

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What are applications of fuzzy logic?

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