Soft Computing online MCQ Test

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Class : BE CSE Max Marks :50 , Note: - All Questions are compulsory , Each Question Carry 02 Mark

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Q.01 . Fuzzy logic is a form of. ? *

2 points

Two-valued logic

Crisp set logic

Many-valued logic

Q.02. Traditional set theory is also known as Crisp Set theory .? *

2 points

True

False

Q.03. The truth values of traditional set theory is ____________ and that of fuzzy set is.? *

2 points

Either 0 or 1, between 0 & 1

Between 0 & 1, either 0 or 1

Between 0 & 1, between 0 & 1

Either 0 or 1, either 0 or 1

Q.04. Fuzzy logic is extension of Crisp set with an extension of handling the concept of Partial Truth.? *

2 points

True

False

Translation

Q.05. How many types of random variables are available.? *

2 points

Q.06. The room temperature is hot. Here the hot (use of linguistic variable is used) can be represented by _______ ? *

2 points

Fuzzy set

Crisp set

Q.07. The values of the set membership is represented by .? *

2 points

Discrete Set

Degree of truth

Probabilities

Q.08. What is meant by probability density function ? *

2 points

Probability distributions

Continuous variable

Probability distributions for Continuous variables

Q.09.Japanese were the first to utilize fuzzy logic practically on high-speed trains in Sendai..? *

2 points

True

False

Q.10.Which of the following is used for probability theory sentences.? *

2 points

Conditional logic

Logic

Extension of propositional logic

Q.11. Fuzzy Set theory defines fuzzy operators. Choose the fuzzy operators from the following.? *

2 points

AND

XOR

Q.12.There are also other operators, more linguistic in nature, called __________ that can be applied to fuzzy set theory.? *

2 points

Hedges

Lingual Variable

Fuzz Variable

Q.13. Where does the Bayes rule can be used ? *

2 points

Solving queries

Increasing complexity

Answering probabilistic query

Q.14. Fuzzy logic is usually represented as.? *

2 points

IF-THEN-ELSE rules

IF-THEN rules

Q.15. Like relational databases there does exists fuzzy relational databases? *

2 points

True

False

Q.16. ______________ is/are the ways to represent uncertainty .? *

2 points

Fuzzy Logic

Probability

All of above

Q.17. A perceptron is ? *

2 points

a single layer feed-forward neural network with pre-processing

an auto-associative neural network

a double layer auto-associative neural network

Q.18.An auto-associative network is.? *

2 points

a neural network that contains no loops

a neural network that contains feedback

a neural network that has only one loop

Q.19. Neuro software is.? *

2 points

A software used to analyze neurons

It is powerful and easy neural network

Designed to aid experts in real world

Q.20.Which of the following is not the promise of artificial neural network? *

2 points

It can explain result

It can survive the failure of some nodes

It has inherent parallelism

Q.21. Neural Networks are complex ______________ with many parameters ? *

2 points

Linear Functions

Nonlinear Functions

Discrete Functions

Q.22. The network that involves backward links from output to the input and hidden layers is called as .

2 points

Self organizing maps

Perceptrons

Recurrent neural network

Clear selection

Q.23.Which of the following is an application of NN (Neural Network).

2 points

Sales forecasting

Data validation

Risk management

All of the mentioned

Clear selection

Q.24.Which is not a desirable property of a logical rule-based system ? *

2 points

Locality

Attachment

Detachment

Q.25. How is Fuzzy Logic different from conventional control methods ? *

2 points

IF and THEN Approach

FOR Approach

WHILE Approach

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