____________ 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 the advantages of fuzzy logic systems?

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

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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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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 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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What is artificial intelligence fuzzy logic?

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Like relational databases there does exists fuzzy relational databases. 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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______________ is/are the way/s to represent uncertainty. a) Fuzzy Logic b) Probability c) Entropy d) All of the mentioned

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What are disadvantages of fuzzy logic systems?

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