Explore topic-wise MCQs in Testing Subject.

This section includes 657 Mcqs, each offering curated multiple-choice questions to sharpen your Testing Subject knowledge and support exam preparation. Choose a topic below to get started.

1.

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
2.

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
3.

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
4.

The process of fuzzy interference system involes

A. membership function
B. fuzzy logic operat
C. if-then rules
D. all the above
Answer» E.
5.

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
6.

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
7.

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
8.

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
9.

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
10.

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
11.

Artificial neural network is used for

A. pattern recognition
B. classification
C. clustering
D. all of the above
Answer» E.
12.

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
13.

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
14.

Hard computing is also called as

A. evolutionary comput
B. conventional com
C. non conventional co
D. probablistic computing
Answer» C. non conventional co
15.

In soft computing the problems,algorithms can be

A. non adaptive
B. adaptive
C. static
D. all of the above
Answer» C. static
16.

Soft computing is based on

A. fuzzy logic
B. neural science
C. crisp software
D. binary logic
Answer» B. neural science
17.

Who iniated idea of sofft computing

A. charles darwin
B. rich and berg
C. mc culloch
D. lofti a zadeh
Answer» E.
18.

Fuzzy Computing

A. mimics human behav
B. deals with inpreci
C. exact information
D. both a and b
Answer» E.
19.

Hard computing perfforms what type of computation

A. sequential
B. parallel
C. approxiamate
D. both a and b
Answer» B. parallel
20.

Core of soft computing is

A. fuzzy computing,neu
B. fuzzy network an
C. neural science
D. genetic science
Answer» B. fuzzy network an
21.

Control actions while computing should be

A. ambiguous
B. unambioguos
C. inaccurate
D. none of these
Answer» C. inaccurate
22.

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
23.

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
24.

In computing the output is called as

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