Explore topic-wise MCQs in Computer Science Engineering (CSE).

This section includes 124 Mcqs, each offering curated multiple-choice questions to sharpen your Computer Science Engineering (CSE) knowledge and support exam preparation. Choose a topic below to get started.

101.

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» B. minimum
102.

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» C. the object is partiall
103.

What does a fuzzifier do

A. coverts crisp input to
B. coverts crisp oupu
C. coverts fuzzy input
D. coverts fuzzy output to
Answer» B. coverts crisp oupu
104.

The process of fuzzy interference system involes

A. membership function
B. fuzzy logic operat
C. if-then rules
D. all the above
Answer» E.
105.

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» B. optimization area
106.

Which approach is most suited to structured problem with little uncertainity

A. simuation
B. human intuition
C. optimization
D. genetic algorithm
Answer» D. genetic algorithm
107.

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» D. heuristics are rules of
108.

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» C. when the modeler
109.

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» D. a solution that require
110.

How does blind search differ from optimization

A. blind search represe
B. blind search usua
C. blind search cannot
D. none of these
Answer» C. blind search cannot
111.

Artificial neural network is used for

A. pattern recognition
B. classification
C. clustering
D. all of the above
Answer» E.
112.

Neural network computing

A. mimics human behav
B. information proce
C. both a and b
D. none of the above
Answer» D. none of the above
113.

Which computing produces accurate results

A. soft computing
B. hard computing
C. both a and b
D. none of the above
Answer» C. both a and b
114.

Hard computing is also called as

A. evolutionary comput
B. conventional com
C. non conventional co
D. probablistic computing
Answer» C. non conventional co
115.

In soft computing the problems,algorithms can be

A. non adaptive
B. adaptive
C. static
D. all of the above
Answer» C. static
116.

Soft computing is based on

A. fuzzy logic
B. neural science
C. crisp software
D. binary logic
Answer» B. neural science
117.

Who iniated idea of sofft computing

A. charles darwin
B. rich and berg
C. mc culloch
D. lofti a zadeh
Answer» E.
118.

Fuzzy Computing

A. mimics human behav
B. deals with inpreci
C. exact information
D. both a and b
Answer» E.
119.

Hard computing perfforms what type of computation

A. sequential
B. parallel
C. approxiamate
D. both a and b
Answer» B. parallel
120.

Core of soft computing is

A. fuzzy computing,neu
B. fuzzy network an
C. neural science
D. genetic science
Answer» B. fuzzy network an
121.

Control actions while computing should be

A. ambiguous
B. unambioguos
C. inaccurate
D. none of these
Answer» C. inaccurate
122.

Fuzzy logic is a form of

A. two valued logic
B. crisp set logic
C. many value logic
D. binary set logic
Answer» D. binary set logic
123.

When we say that the boundary is crisp

A. distinguish two regio
B. cannot distinguis
C. collection of ordere
D. none of these
Answer» B. cannot distinguis
124.

In computing the output is called as

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