Answer Posted / 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.

______________ is/are the way/s to represent uncertainty. a) Fuzzy Logic b) Probability c) Entropy d) All of the mentioned

4642

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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

2946

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Like relational databases there does exists fuzzy relational databases. a) True b) False

3495

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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

3853

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Where do we implement artificial intelligence fuzzy logic?

1089

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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

2959

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What is artificial intelligence fuzzy logic?

885

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Why fuzzy logic?

1038

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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

2178

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What are applications of fuzzy logic?

970

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What is fuzzy logic implementation?

1005

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

1765

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What are advantages of fuzzy logic systems?

1022

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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

2200

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What are disadvantages of fuzzy logic systems?

1094

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