Quiznetik

Computer Engineering Soft Computing | Set 1

1. When we say that the boundary is crisp

Correct : A. distinguish two regio

2. In computing the output is called as

Correct : A. consequent

3. Fuzzy logic is a form of

Correct : C. many value logic

4. Control actions while computing should be

Correct : B. unambioguos

5. Core of soft computing is

Correct : A. fuzzy computing,neu

6. Hard computing perfforms what type of computation

Correct : A. sequential

7. Who iniated idea of sofft computing

Correct : D. lofti a zadeh

8. Soft computing is based on

Correct : A. fuzzy logic

9. In soft computing the problems,algorithms can be

Correct : B. adaptive

10. Fuzzy Computing

Correct : D. both a and b

11. Hard computing is also called as

Correct : B. conventional com

12. Which computing produces accurate results

Correct : B. hard computing

13. Neural network computing

Correct : C. both a and b

14. Artificial neural network is used for

Correct : D. all of the above

15. How does blind search differ from optimization

Correct : B. blind search usua

16. In modeling,an optimal solution is understood to be

Correct : C. a solution that is th

17. When is a complete enumeration of solution used?

Correct : B. when there is en

18. All of the follwing are true about heuristics EXCEPT

Correct : C. heuristics are used

19. Which approach is most suited to structured problem with little uncertainity

Correct : C. optimization

20. Genetic algorithm belong to the family of method in the

Correct : A. artifical intelligence a

21. What does the 0 membership value means in the set

Correct : B. the object is not i

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

Correct : A. maximum

23. The process of fuzzy interference system involes

Correct : D. all the above

24. What does a fuzzifier do

Correct : A. coverts crisp input to

25. Which of the folloowing is not defuzzifier method

Correct : D. hypotenuse of triangle

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

Correct : D. only a and b

27. A Fuzzy rule can have

Correct : C. multiple part of ant

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

Correct : B. {x|ua(x)>=a}

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

Correct : C. (a)=|x1-x2|

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

Correct : 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

Correct : 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

Correct : 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

Correct : A. {0.6/a,0.3/b,0.1/c,0.3

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

Correct : A. {x|ua(x)>0}

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

Correct : B. {x|ua(x)=1}

36. Fuzzy logic deals with which of the following

Correct : C. both a and b

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

Correct : A. fuzzification->rule ev

38. can a crisp set be a fuzzy set?

Correct : B. yes

39. All of the follwing are suitable problem for genetic algorithm EXCEPT

Correct : C. simple optimization

40. Tabu search is an example of ?

Correct : A. heuristic

41. Genetic algorithms are example of

Correct : B. evolutionary algo

42. mutation is applied on candidates.

Correct : A. one

43. recombination is applied on candidates.

Correct : B. two

44. LCS belongs to based methods?

Correct : A. rule based learning

45. Survival is approach.

Correct : A. deteministic

46. Evolutionary algorithms are a based approach

Correct : A. heuristic

47. Idea of genetic algorithm came from

Correct : D. genetics

48. Chromosomes are actually ?

Correct : B. string representa

49. what are the parameters that affect GA are/is

Correct : C. both a and b

50. Evolutionary programming was developef by

Correct : B. fodgel

51. Evolution Strategies is developed with

Correct : D. all of these

52. Evolution Strategies typically uses

Correct : A. real-valued vector re

53. in ES survival is

Correct : D. none of these

54. What is the first step in Evolutionary algorithm

Correct : D. initialization

55. Elements of ES are/is

Correct : C. both a and b

56. What are different types of crossover

Correct : A. discrete and interme

57. Determining the duration of the simulation occurs before the model is validated and te

Correct : B. false

58. cannot easily be transferred from one problem domain to another

Correct : C. simulation solutuon

59. Discrete events and agent-based models are usuallly used for .

Correct : A. middle or low level o

60. doesnot usually allow decision makers to see how a solution to a en

Correct : A. simulation ,complex

61. EC stands for?

Correct : A. evolutionary comput

62. GA stands for

Correct : A. genetic algorithm

63. LCS stands for

Correct : B. learning classifier

64. GBML stands for

Correct : C. genetic bsed machi

65. EV is dominantly used for solving .

Correct : A. optimization proble

66. EV is considered as?

Correct : C. both a and b

67. Parameters that affect GA

Correct : D. all of these

68. Fitness function should be

Correct : B. minimum

69. Applying recombination and mutation leads to a set of new candidates, called as ?

Correct : C. offsprings

70. decides who becomes parents and how many children the parents have.

Correct : B. parent selection

71. Basic elements of EA are ?

Correct : C. both a and b

72. There are also other operators, more linguistic in nature, called                     that can be applied to fuzzy set theory.

Correct : A. hedges

73. A fuzzy set has a membership function whose membership values are strictly monotonically increasing or strictly monotonically decreasing or strictly monotonically increasing than strictly monotonically decreasing with increasing values for elements in the universe

Correct : A. convex fuzzy set

74. Which of the following neural networks uses supervised learning? (A) Multilayer perceptron (B) Self organizing feature map (C) Hopfield network

Correct : A. (a) only

75. What is the feature of ANNs due to which they can deal with noisy, fuzzy, inconsistent data?

Correct : C. both associative & distributive

76. Feature of ANN in which ANN creates its own organization or representation of information it receives during learning time is

Correct : B. self organization

77. Any soft-computing methodology is characterised by

Correct : D. algorithm which can easily adapt with the change of dynamic environment

78. For what purpose Feedback neural networks are primarily used?

Correct : D. none of the mentioned

79. Operations in the neural networks can perform what kind of operations?

Correct : C. serial or parallel

80. What is ART in neural networks?

Correct : C. adaptive resonance theory

81. The values of the set membership is represented by

Correct : B. degree of truth

82. Given U = {1,2,3,4,5,6,7} A = {(3, 0.7), (5, 1), (6, 0.8)} then A will be: (where ~ → complement)

Correct : C. {(l, 1), (2, 1), (3, 0.3)

83. If A and B are two fuzzy sets with membership functions μA(x) = {0.6, 0.5, 0.1, 0.7, 0.8} μB(x) = {0.9, 0.2, 0.6, 0.8, 0.5} Then the value of μ(A∪B)’(x) will be

Correct : C. {0.1, 0.5, 0.4, 0.2, 0.

84. Compute the value of adding the following two fuzzy integers: A = {(0.3,1), (0.6,2), (1,3), (0.7,4), (0.2,5)} B = {(0.5,11), (1,12), (0.5,13)} Where fuzzy addition is defined as μA+B(z) = maxx+y=z (min(μA(x), μB(x))) Then, f(A+B) is equal to

Correct : D. {(0.3,12), (0.5,13), (0.6

85. A U (B U C) =

Correct : B. (a ∪ b ) ∪ c

86. Consider a fuzzy set A defined on the interval X = [0, 10] of integers by the membership Junction μA(x) = x / (x+2) Then the α cut corresponding to α = 0.5 will be

Correct : C. {2, 3, 4, 5, 6, 7, 8, 9,

87. The fuzzy proposition "IF X is E then Y is F" is a

Correct : A. conditional unqualifi

88. Choose the correct statement 1. A fuzzy set is a crisp set but the reverse is not true 2. If A,B and C are three fuzzy sets defined over the same universe of discourse such that A ≤ B and B ≤ C and A ≤ C 3. Membership function defines the fuzziness in a fuzzy set irrespecive of the elements in the set, which are discrete or continuous

Correct : B. 2 and 3

89. An equivalence between Fuzzy vs Probability to that of Prediction vs Forecasting is

Correct : B. fuzzy ≈ forecastin

90. Both fuzzy logic and artificial neural network are soft computing techniques because

Correct : C. in each, no precise

91. A fuzzy set whose membership function has at least one element x in the universe whose membership value is unity is called

Correct : B. normal fuzzy set

92. ----- defines logic funtion of two prepositions

Correct : C. truth tables

93. In fuzzy propositions, ---- gives an approximate idea of the number of elements of a subset fulfilling certain conditions

Correct : B. fuzzy quantifiers

94. Multiple conjuctives antecedents is method of ----- in FLC

Correct : A. decomposition rule

95. Multiple disjuctives antecedents is method of ----- in FLC

Correct : A. decomposition rule

96. IF x is A and y is B then z=c (c is constant), is

Correct : A. rule in zero order fis

97. A fuzzy set wherein no membership function has its value equal to 1 is called

Correct : B. subnormal fuzzy set.

98. Mamdani's Fuzzy Inference Method Was Designed To Attempt What?

Correct : C. control a steam engine and a boiler combination by synthesising a set of linguistic control rules obtained from experienced human operations.

99. What Are The Two Types Of Fuzzy Inference Systems?

Correct : C. mamdani-type and sugeno-type

100. What Is Another Name For Fuzzy Inference Systems?

Correct : D. all of the above