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120+ Computer Engineering Soft Computing Solved MCQs

These multiple-choice questions (MCQs) are designed to enhance your knowledge and understanding in the following areas: Computer Science Engineering (CSE) .

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
26.

Which of the following is/are type of fuzzy interference method

A. mamdani
B. sugeno
C. rivest
D. only a and b
Answer» D. only a and b
27.

A Fuzzy rule can have

A. multiple part of ante
B. only single part of
C. multiple part of ant
D. only single part of ante
Answer» C. multiple part of ant
28.

The a cut of a fuzzy set A is a crisp set defined by :-

A. {x|ua(x)>a}
B. {x|ua(x)>=a}
C. {x|ua(x)<a}
D. {x|ua(x)<=a}
Answer» B. {x|ua(x)>=a}
29.

The bandwidth(A) in a fuzzy set is given by

A. (a)=|x1*x2|
B. (a)=|x1+x2|
C. (a)=|x1-x2|
D. (a)=|x1/x2|
Answer» C. (a)=|x1-x2|
30.

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

A. maximum
B. minimum
C. equal to
D. not equal to
Answer» B. minimum
31.

A={1/a,0.3/b,0.2/c,0.8/d,0/e} B={0.6/a,0.9/b,0.1/c,0.3/d,0.2/e} What will be the co

A. m{0/a,0.7/b,0.8/c,0.2/
B. {0/a,0.9/b,0.7/c,0
C. {0.8/a,0.7/b,0.8/c,0
D. {0/a,0.7/b,0.8/c,0.9/d,
Answer» A. m{0/a,0.7/b,0.8/c,0.2/
32.

A={1/a,0.3/b,0.2/c,0.8/d,0/e} B={0.6/a,0.9/b,0.1/c,0.3/d,0.2/e} What will be the uni

A. {1/a,0.9/b,0.1/c,0.5/
B. {0.8/a,0.9/b,0.2/c
C. {1/a,0.9/b,0.2/c,0.8
D. {1/a,0.9/b,0.2/c,0.8/d,
Answer» C. {1/a,0.9/b,0.2/c,0.8
33.

A={1/a,0.3/b,0.2/c,0.8/d,0/e} B={0.6/a,0.9/b,0.1/c,0.3/d,0.2/e} What will be the inte

A. {0.6/a,0.3/b,0.1/c,0.3
B. {0.6/a,0.8/b,0.1/c
C. {0.6/a,0.3/b,0.1/c,0
D. {0.6/a,0.3/b,0.2/c,0.3/
Answer» A. {0.6/a,0.3/b,0.1/c,0.3
34.

What denotes the support(A) in a fuzzy set?

A. {x|ua(x)>0}
B. {x|ua(x)<0}
C. {x|ua(x)<=0}
D. {x|ua(x)<0.5}
Answer» A. {x|ua(x)>0}
35.

What denotes the core(A) in a fuzzy set?

A. {x|ua(x)>0}
B. {x|ua(x)=1}
C. {x|ua(x)>=0.5}
D. {x|ua(x)>0.8}
Answer» B. {x|ua(x)=1}
36.

Fuzzy logic deals with which of the following

A. fuzzy set
B. fuzzy algebra
C. both a and b
D. none of the above
Answer» C. both a and b
37.

which of the following is a sequence of steps taken in designning a fuzy logic machine

A. fuzzification->rule ev
B. deffuzification->r
C. rule evaluation->fuz
D. rule evaluation->defuz
Answer» A. fuzzification->rule ev
38.

can a crisp set be a fuzzy set?

A. no
B. yes
C. depends
D. all of the above
Answer» B. yes
39.

All of the follwing are suitable problem for genetic algorithm EXCEPT

A. pattern recognization
B. simulation of biol
C. simple optimization
D. dynamic process contr
Answer» C. simple optimization
40.

Tabu search is an example of ?

A. heuristic
B. evolutionary algo
C. aco
D. pso
Answer» A. heuristic
41.

Genetic algorithms are example of

A. heuristic
B. evolutionary algo
C. aco
D. pso
Answer» B. evolutionary algo
42.

mutation is applied on candidates.

A. one
B. two
C. more than two
D. noneof these
Answer» A. one
43.

recombination is applied on candidates.

A. one
B. two
C. more than two
D. noneof these
Answer» B. two
44.

LCS belongs to based methods?

A. rule based learning
B. genetic learning
C. both a and b
D. noneof these
Answer» A. rule based learning
45.

Survival is approach.

A. deteministic
B. non deterministic
C. semi deterministic
D. noneof these
Answer» A. deteministic
46.

Evolutionary algorithms are a based approach

A. heuristic
B. metaheuristic
C. both a and b
D. noneof these
Answer» A. heuristic
47.

Idea of genetic algorithm came from

A. machines
B. birds
C. aco
D. genetics
Answer» D. genetics
48.

Chromosomes are actually ?

A. line representation
B. string representa
C. circular representat
D. all of these
Answer» B. string representa
49.

what are the parameters that affect GA are/is

A. selection process
B. initial population
C. both a and b
D. none of these
Answer» C. both a and b
50.

Evolutionary programming was developef by

A. fredrik
B. fodgel
C. frank
D. flin
Answer» B. fodgel

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