The room temperature is hot. Here the hot (use of linguistic variable is used) can be represented by _______ .
a) Fuzzy Set
b) Crisp Set
Fuzzy logic is extension of Crisp set with an extension of handling the concept of Partial Truth. a) True b) False
What is fuzzy logic?
What is meant by probability density function? a) Probability distributions b) Continuous variable c) Discrete variable d) Probability distributions for Continuous variables
The room temperature is hot. Here the hot (use of linguistic variable is used) can be represented by _______ . a) Fuzzy Set b) Crisp Set
______________ is/are the way/s to represent uncertainty. a) Fuzzy Logic b) Probability c) Entropy d) All of the mentioned
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
Like relational databases there does exists fuzzy relational databases. a) True b) False
Where do we implement artificial intelligence fuzzy logic?
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
Japanese were the first to utilize fuzzy logic practically on high-speed trains in Sendai. a) True b) False
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
Where does the Bayes rule can be used? a) Solving queries b) Increasing complexity c) Decreasing complexity d) Answering probabilistic query