Computer Engineering Soft Computing Solved MCQs

1.

When we say that the boundary is crisp

A. distinguish two regio
B. cannot distinguis
C. collection of ordere
D. none of these
Answer» A. distinguish two regio
2.

In computing the output is called as

A. consequent
B. outfeed
C. anticedents
D. premise
Answer» A. consequent
3.

Fuzzy logic is a form of

A. two valued logic
B. crisp set logic
C. many value logic
D. binary set logic
Answer» C. many value logic
4.

Control actions while computing should be

A. ambiguous
B. unambioguos
C. inaccurate
D. none of these
Answer» B. unambioguos
5.

Core of soft computing is

A. fuzzy computing,neu
B. fuzzy network an
C. neural science
D. genetic science
Answer» A. fuzzy computing,neu
6.

Hard computing perfforms what type of computation

A. sequential
B. parallel
C. approxiamate
D. both a and b
Answer» A. sequential
7.

Who iniated idea of sofft computing

A. charles darwin
B. rich and berg
C. mc culloch
D. lofti a zadeh
Answer» D. lofti a zadeh
8.

Soft computing is based on

A. fuzzy logic
B. neural science
C. crisp software
D. binary logic
Answer» A. fuzzy logic
9.

In soft computing the problems,algorithms can be

A. non adaptive
B. adaptive
C. static
D. all of the above
Answer» B. adaptive
10.

Fuzzy Computing

A. mimics human behav
B. deals with inpreci
C. exact information
D. both a and b
Answer» D. both a and b
11.

Hard computing is also called as

A. evolutionary comput
B. conventional com
C. non conventional co
D. probablistic computing
Answer» B. conventional com
12.

Which computing produces accurate results

A. soft computing
B. hard computing
C. both a and b
D. none of the above
Answer» B. hard computing
13.

Neural network computing

A. mimics human behav
B. information proce
C. both a and b
D. none of the above
Answer» C. both a and b
14.

Artificial neural network is used for

A. pattern recognition
B. classification
C. clustering
D. all of the above
Answer» D. all of the above
15.

How does blind search differ from optimization

A. blind search represe
B. blind search usua
C. blind search cannot
D. none of these
Answer» B. blind search usua
16.

In modeling,an optimal solution is understood to be

A. a solution that can o
B. a solution found i
C. a solution that is th
D. a solution that require
Answer» C. a solution that is th
17.

When is a complete enumeration of solution used?

A. when a solution that
B. when there is en
C. when the modeler
D. when there are an infi
Answer» B. when there is en
18.

All of the follwing are true about heuristics EXCEPT

A. heuristics are used w
B. heuristics are use
C. heuristics are used
D. heuristics are rules of
Answer» C. heuristics are used
19.

Which approach is most suited to structured problem with little uncertainity

A. simuation
B. human intuition
C. optimization
D. genetic algorithm
Answer» C. optimization
20.

Genetic algorithm belong to the family of method in the

A. artifical intelligence a
B. optimization area
C. complete enumerat
D. non computer based i
Answer» A. artifical intelligence a
21.

What does the 0 membership value means in the set

A. the object is fully insi
B. the object is not i
C. the object is partiall
D. none of the above
Answer» B. the object is not i
22.

The union of two fuzzy sets is the of each element from two sets

A. maximum
B. minimum
C. equal to
D. not equal to
Answer» A. maximum
23.

The process of fuzzy interference system involes

A. membership function
B. fuzzy logic operat
C. if-then rules
D. all the above
Answer» D. all the above
24.

What does a fuzzifier do

A. coverts crisp input to
B. coverts crisp oupu
C. coverts fuzzy input
D. coverts fuzzy output to
Answer» A. coverts crisp input to
25.

Which of the folloowing is not defuzzifier method

A. centroid of area
B. mean of maximu
C. largest of maximum
D. hypotenuse of triangle
Answer» D. hypotenuse of triangle
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