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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 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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What are disadvantages of fuzzy logic systems?

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

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Japanese were the first to utilize fuzzy logic practically on high-speed trains in Sendai. a) True b) False

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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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What are applications of fuzzy logic?

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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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 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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Fuzzy logic is a form of a) Two-valued logic b) Crisp set logic c) Many-valued logic d) Binary set logic

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