Practice Fuzzy Logic Multiple Choice Questions with Answers Quiz-1

Q.1.

The output at each node is called_____.

node value
weight
neurons
axons

Q.2.

What is the form of Fuzzy logic?

Crisp set logic
Two-valued logic
Binary set logic
Many-valued logic

Q.3.

Fuzzy logic is usually represented as ___________

IF-THEN rules
IF-THEN-ELSE rules
IF THEN
Both IF-THEN-ELSE rules & IF-THEN rules

Q.4.

How many main parts are there in Fuzzy Logic Systems Architecture?

3
4
5
6

Q.5.

In which ANN, loops are allowed?

feedforward ann
feedback ann
both a and b
none of the above

Q.6.

Which of the following is not Application Areas of Fuzzy Logic?

automotive systems
domestic goods
domestic control
environment control

Q.7.

What is the full form of BN in Neural Networks?

bayesian networks
belief networks
bayes nets
all of the above

Q.8.

The BN variables are composed of how many dimensions?

2
3
4
5

Q.9.

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

Lingual Variable
Fuzz Variable
Hedges
None of the mentioned

Q.10.

What is an auto-associative network?

a neural network that contains no loops
a neural network that contains feedback
a neural network that has only one loop
a single layer feed-forward neural network with pre-processing

Q.11.

,2 and 1 respectively. What will be the output?

30
40
50
60

Q.12.

What is Fuzzy Logic?

a method of reasoning that resembles human reasoning
a method of question that resembles human answer
a method of giving answer that resembles human answer.
none of the above

Q.13.

6910

linear functions
nonlinear functions
discrete functions
exponential functions

Q.14.

How many output Fuzzy Logic produce?

2
3
4
5

Q.15.

What is Neuro software?

a software used to analyze neurons
it is powerful and easy neural network
designed to aid experts in real world
it is software used by neurosurgeon

Q.16.

In Membership function graph x-axis represent?

universe of discours
degrees of membership in the [0, 1] interval
degrees of discourse
universe of membership

Q.17.

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

Between 0 & 1, either 0 or 1
Between 0 & 1, between 0 & 1
Either 0 or 1, between 0 & 1
Either 0 or 1, either 0 or 1

Q.18.

How many level of fuzzifier is there?

4
5
6
7

Q.19.

____________ are algorithms that learn from their more complex environments (hence eco) to generalize, approximate and simplify solution logic.

Fuzzy Set
Ecorithms
Fuzzy Relational DB
None of the mentioned

Q.20.

Fuzzy Logic can be implemented in?

hardware
software
both a and b
none of the above

Support mcqgeeks.com by disabling your adblocker.