Top 80+ Solved Advanced Neural Network and Fuzzy System MCQ Questions Answer
Q. Fuzzy logic is a form of
a. two-valued logic
b. crisp set logic
c. many-valued logic
d. binary set logic
Q. The 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
Q. The values of the set membership is represented by
a. discrete set
b. degree of truth
c. probabilities
d. both b & c
Q. What is meant by probability density function?
a. probability distributions
b. continuous variable
c. discrete variable
d. probability distributions for continuous variables
Q. Which of the following is used for probability theory sentences?
a. conditional logic
b. logic
c. extension of propositional logic
d. none of the mentioned
Q. Fuzzy Set theory defines fuzzy operators. Choose the fuzzy operators from the following.
a. and
b. or
c. not
d. ex-or
Q. 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
Q. Where does the Bayes rule can be used?
a. solving queries
b. increasing complexity
c. decreasing complexity
d. answering probabilistic query
Q. 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
Q. Fuzzy logic is usually represented as
a. if-then-else rules
b. if-then rules
c. both a & b
d. none of the mentioned
Q. ______________ is/are the way/s to represent uncertainty.
a. fuzzy logic
b. probability
c. entropy
d. all of the mentioned
Q. ____________ 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
Q. 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
Q. 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