Question 1

Fuzzy Set theory defines fuzzy operators. Choose the fuzzy operators from the following.

Accepted Answer

A)  and
B)  or
C)  not
D)  ex-or C

Question 2

Which condition is used to influence a variable directly by all the others?

Accepted Answer

A)  partially connected
B)  fully connected
C)  local connected
D)  none of the mentioned B

Question 3

A mouse device may be:

Accepted Answer

A)  electro-chemical
B)  mechanical
C)  optical
D)  both b and c D

Question 4

Elementary linguistic units which are smaller than words are:

Accepted Answer

A)  allophones
B)  phonemes
C)  syllables
D)  all of the mentioned

Question 5

In LISP, the atom that stands for "true" is

Accepted Answer

A)  t
B)  ml
C)  y
D)  time

Question 6

The truth values of traditional set theory is ____________ and that of fuzzy set is __________

Accepted Answer

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

Question 7

The values of the set membership is represented by

Accepted Answer

A)  discrete set
B)  degree of truth
C)  probabilities
D)  both b & c

Question 8

How many terms are required for building a Bayesian model?

Accepted Answer

A)  1
B)  2
C)  3
D)  4

Question 9

How many types of random variables are available?

Accepted Answer

A)  1
B)  2
C)  3
D)  4

Question 10

What is needed to make probabilistic systems feasible in the world?

Accepted Answer

A)  reliability
B)  crucial robustness
C)  feasibility
D)  none of the mentioned

Question 11

Where does the Bayes rule can be used?

Accepted Answer

A)  solving queries
B)  increasing complexity
C)  decreasing complexity
D)  answering probabilistic query

Question 12

Fuzzy logic is usually represented as

Accepted Answer

A)  if-then-else rules
B)  if-then rules
C)  both a & b
D)  none of the mentioned

Question 13

Fuzzy logic is a form of

Accepted Answer

A)  two-valued logic
B)  crisp set logic
C)  many-valued logic
D)  binary set logic

Question 14

What does the Bayesian network provides?

Accepted Answer

A)  complete description of the domain
B)  partial description of the domain
C)  complete description of the problem
D)  none of the mentioned

Question 15

What is the consequence between a node and its predecessors while creating Bayesian network?

Accepted Answer

A)  conditionally dependent
B)  dependent
C)  conditionally independent
D)  both a & b

Question 16

What is meant by probability density function?

Accepted Answer

A)  probability distributions
B)  continuous variable
C)  discrete variable
D)  probability distributions for continuous variables

Question 17

______________ is/are the way/s to represent uncertainty.

Accepted Answer

A)  fuzzy logic
B)  probability
C)  entropy
D)  all of the mentioned

Question 18

How the Bayesian network can be used to answer any query?

Accepted Answer

A)  full distribution
B)  joint distribution
C)  partial distribution
D)  all of the mentioned

Question 19

There are also other operators, more linguistic in nature, called __________ that can be applied to fuzzy set theory.

Accepted Answer

A)  hedges
B)  lingual variable
C)  fuzz variable
D)  none of the mentioned

Question 20

To which does the local structure is associated?

Accepted Answer

A)  hybrid
B)  dependent
C)  linear
D)  none of the mentioned

Exam 1: Fuzzy Logic, Set Theory, and Bayesian Networks