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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
2264____________ 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 3684Fuzzy logic is a form of a) Two-valued logic b) Crisp set logic c) Many-valued logic d) Binary set logic
2185The 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 8003Fuzzy logic is extension of Crisp set with an extension of handling the concept of Partial Truth. a) True b) False
1 3889The room temperature is hot. Here the hot (use of linguistic variable is used) can be represented by _______ . a) Fuzzy Set b) Crisp Set
1 4771The values of the set membership is represented by a) Discrete Set b) Degree of truth c) Probabilities d) Both b & c
1 9977What is meant by probability density function? a) Probability distributions b) Continuous variable c) Discrete variable d) Probability distributions for Continuous variables
1855Japanese were the first to utilize fuzzy logic practically on high-speed trains in Sendai. a) True b) False
2966Which of the following is used for probability theory sentences? a) Conditional logic b) Logic c) Extension of propositional logic d) None of the mentioned
3144Fuzzy Set theory defines fuzzy operators. Choose the fuzzy operators from the following. a) AND b) OR c) NOT d) EX-OR
1 5275There 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
2943Where does the Bayes rule can be used? a) Solving queries b) Increasing complexity c) Decreasing complexity d) Answering probabilistic query
1 3029
How machine learning is deployed in real world scenarios?
Define procedural knowledge and declarative knowledge.
How does a cloud data platform help in managing Gen AI projects?
How would you adapt a pre-trained model to a domain-specific task?
What if a file is corrupted or missing in a dataset?
Explain game playing artificial intelligence?
What is the role of AI in precision medicine?
There are 8 identical balls and only one of the ball is slightly heavier than the others. You are given a balance scale to find the heavier ball. What is the least number of times you have to use the balance scale to find the heavier ball?
What is future of artificial intelligence?
What is the problem of artificial intelligence?
Can you explain the concept of generative models and their applications in AI?
How can AI be used to detect fraudulent activities in finance?
How do you see AI ethics evolving in the next decade?
What techniques can improve inference speed for LLMs?
How would you add value to the company through your projects?
