The values of the set membership is represented by a) Discrete Set b) Degree of truth c) Probabilities d) Both b & c

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 What is the consequence between a node and its predecessors while creating Bayesian network? a) Conditionally dependent b) Dependent c) Conditionally independent d) Both a & b

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Where do we implement artificial intelligence fuzzy logic?

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What are advantages of fuzzy logic systems?

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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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 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

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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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Which condition is used to influence a variable directly by all the others? a) Partially connected b) Fully connected c) Local connected 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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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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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 artificial intelligence fuzzy logic?

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