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Solving a constraint satisfaction problem on a finite domain is an/a ___________ problem with respect to the domain size. a) P complete b) NP complete c) NP hard d) Domain dependent
1935____________ is/are useful when the original formulation of a problem is altered in some way, typically because the set of constraints to consider evolves because of the environment. a) Static CSPs b) Dynamic CSPs c) Flexible CSPs d) None of the above
1 3114Fuzzy logic is a form of a) Two-valued logic b) Crisp set logic c) Many-valued logic d) Binary set logic
1793The 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
1 7256Fuzzy logic is extension of Crisp set with an extension of handling the concept of Partial Truth. a) True b) False
1 3162The room temperature is hot. Here the hot (use of linguistic variable is used) can be represented by _______ . a) Fuzzy Set b) Crisp Set
1 4147The values of the set membership is represented by a) Discrete Set b) Degree of truth c) Probabilities d) Both b & c
1 8997What is meant by probability density function? a) Probability distributions b) Continuous variable c) Discrete variable d) Probability distributions for Continuous variables
1436Japanese were the first to utilize fuzzy logic practically on high-speed trains in Sendai. a) True b) False
2528Which of the following is used for probability theory sentences? a) Conditional logic b) Logic c) Extension of propositional logic d) None of the mentioned
2629Fuzzy Set theory defines fuzzy operators. Choose the fuzzy operators from the following. a) AND b) OR c) NOT d) EX-OR
1 4515There 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
2530Where does the Bayes rule can be used? a) Solving queries b) Increasing complexity c) Decreasing complexity d) Answering probabilistic query
1 2394
What is a dbscan?
What is the difference between a bagged model and a boosted model?
What are Intelligent Agents and Bots on the Internet?
What are the important algorithms Tensorflow supports?
Define kernel svm?
Explain the structure of artificial neural networks?
Tell me something about data mining? Where is it used? Can you tell its 3 applications?
What do you understand by perceptron? Also, explain its type.
What is the difference between classical artificial intelligence and statistical artificial intelligence?
How would you do market basket analysis in r and python?
What is cluster analysis?
What is the breadth-first search algorithm?
What is artificial intelligence?
How long does it take to become a data scientist?
What Is The Difference Between Bias And Variance?
