Computer/Computer Engineering Soft Computing Set 2 Sample Test,Sample questions

Question: ` (1+Î») ES`

1.Î» mutants can be generated from one parent

2.one mutant is generated

3.2Î» mutants can be generated

4.no mutants are generated

Question: ` Both fuzzy logic and artificial neural network are soft computing techniques because`

1.both gives precise an

2.ann gives accura

3. in each, no precise

4.fuzzy gives exact resul

Question: ` IF x is A and y is B then z=c (c is constant), is`

1.rule in zero order fis

2.rule in first order fis

3. both a and b

4.neither a nor b

Question: ` In Evolutionary programming, survival selection is`

1.probabilistic selection (Î¼+Î¼) selection

2. (Î¼, Î»)- selection based on the children only (Î¼+Î»)- selection based on both the set of parent and children

3.children replace the parent

4.All of the mentioned

Question: ` In Evolutionary strategy, recombination is`

1.doesnot use recombination to produce offspring. it only uses mutation

2. uses recombination such as cross over to produce offspring

3.uses various recombination operators

4.None of the mentioned

Question: ` In Evolutionary strategy, survival selection is`

1.probabilistic selection (Î¼+Î¼) selection

2.(Î¼, Î»)- selection based on the children only (Î¼+Î»)- selection based on both the set of parent and children

3.children replace the parent

4.all the mentioned

Question: ` In fuzzy propositions, ---- gives an approximate idea of the number of elements of a subset fulfilling certain conditions`

1.fuzzy predicate and predicate modifiers

2.fuzzy quantifiers

3. fuzzy qualifiers

4.All of the above

Question: ` Multiple conjuctives antecedents is method of ----- in FLC`

1. decomposition rule

2.formation of rule

3. truth tables

4.all of the above

1.1 and 2

2.2 and 3

3.3 and 4

4.1 and 4

Question: ` What is the feature of ANNs due to which they can deal with noisy, fuzzy, inconsistent data?`

1.associative nature of networks

2.distributive nature of networks

3.both associative & distributive

4.none of the mentioned

Question: ` Which of the following operator is simplest selection operator?`

1.random selection

2.proportional selection

3. tournament selection

4.none

Question: `(1+1) ES`

1.operates on population size of two

2. operates on populantion size of one

3. operates on populantion size of zero

4.operates on populantion size of Î»

Question: `-- defines logic funtion of two prepositions`

1.prepositions

2.lingustic hedges

3. truth tables

4. inference rules

Question: `. In Evolutionary programming, recombination is`

1.doesnot use recombination to produce offspring. it only uses mutation

2. uses recombination such as cross over to produce offspring

3.uses various recombination operators

4.none of the mentioned

Question: `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`

1.convex fuzzy set

2.concave fuzzy set

3. non concave fuzzy set

4. non convex fuzzy set

Question: `A fuzzy set wherein no membership function has its value equal to 1 is called`

1.normal fuzzy set

2.subnormal fuzzy set.

3.convex fuzzy set

4.concave fuzzy set

Question: `A fuzzy set whose membership function has at least one element x in the universe whose membership valueis unity is called`

1.sub normal fuzzy sets

2.normal fuzzy set

3. convex fuzzy set

4.concave fuzzy set

Question: `A U (B U C) =`

2.(a âˆª b ) âˆª c

3.(a âˆª b) âˆ© (a âˆª c)

Question: `An equivalence between Fuzzy vs Probability to that of Prediction vs Forecasting is`

1. fuzzy â‰ˆ prediction

2.fuzzy â‰ˆ forecastin

3.probability â‰ˆ foreca

4.none of these

Question: `Any soft-computing methodology is characterised by`

1.precise solution

2. control actions are unambiguous and accurate

3.control actions is formally defined

4.algorithm which can easily adapt with the change of dynamic environment

Question: `Basic elements of EA are ?`

1.parent selection methods

2.survival selection methods

3.both a and b

4.noneof these

Question: `Both fuzzy logic and artificial neural network are soft computing techniques because`

1.both gives precise an

2.ann gives accura

3. in each, no precise

4.fuzzy gives exact resul

1.1 only

2. 2 and 3

3. 1,2 and 3

4. none of these

Question: ```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 Î¼A+B(z) = maxx+y=z (min(Î¼A(x), Î¼B(x))) Then, f(A+B) is equal to```

1.{(0.5,12), (0.6,13), (1,

2. {(0.5,12), (0.6,13),

3. {(0.3,12), (0.5,13)

4. {(0.3,12), (0.5,13), (0.6

Question: `Consider a fuzzy set A defined on the interval X = [0, 10] of integers by the membership JunctionÎ¼A(x) = x / (x+2) Then the Î± cut corresponding to Î± = 0.5 will be`

1. {0, 1, 2, 3, 4, 5, 6, 7, 8

2.{1, 2, 3, 4, 5, 6, 7,

3.{2, 3, 4, 5, 6, 7, 8, 9,

4.None of the above

Question: `EP applies which evolutionary operators?`

1.variation through application of mutation operators

2.selection

3.both a and b

4.none of the mentioned

Question: `Evolutionary Strategies (ES)`

1.(Âµ,Î»): select survivors among parents and offspring

2. (Âµ+Î»): select survivors among parents and offspring

3.(Âµ-Î»): select survivors among offspring only

4. (Âµ:Î»): select survivors among offspring only

Question: `Feature of ANN in which ANN creates its own organization or representation of information it receives during learning time is`

2.self organization

3.what-if analysis

4.supervised learning

Question: `For what purpose Feedback neural networks are primarily used?`

1.classification

2.feature mapping

3.pattern mapping

4.none of the mentioned

Question: `Given U = {1,2,3,4,5,6,7} A = {(3, 0.7), (5, 1), (6, 0.8)}then A will be: (where ~ â†’ complement)`

1.{(4, 0.7), (2,1), (1,0.8)

2.{(4, 0.3.): (5, 0), (6

3. {(l, 1), (2, 1), (3, 0.3)

4. {(3, 0.3), (6.0.2)}

Question: ```If A and B are two fuzzy sets with membership functions Î¼A(x) = {0.6, 0.5, 0.1, 0.7, 0.8} Î¼B(x) = {0.9, 0.2, 0.6, 0.8, 0.5} Then the value of Î¼(AâˆªB)â€™(x) will be```

1.{0.9, 0.5, 0.6, 0.8, 0.8

2.{0.6, 0.2, 0.1, 0.7,

3.{0.1, 0.5, 0.4, 0.2, 0

4. {0.1, 0.5, 0.4, 0.2, 0.3}

Question: `In Evolutionary programming,`

1. individuals are represented by real- valued vector

2. individual solution is represented as a finite state machine

3.individuals are represented as binary string

4.none of the mentioned

Question: `Mamdani's Fuzzy Inference Method Was Designed To Attempt What?`

1. control any two combinations of any two products by synthesising a set of linguistic control rules obtained from experienced human operations.

2.control any two combinations of any two products by synthesising a set of linguistic control rules obtained from experienced human operations.

3.control a steam engine and a boiler combination by synthesising a set of linguistic control rules obtained from experienced human operations. D. control a air craft and fuel level combination by synt

4.control a air craft and fuel level combination by synthesising a set of linguistic control rules obtained from experienced human operations.

Question: `Multiple disjuctives antecedents is method of ----- in FLC`

1.decomposition rule

2.formation of rule

3. truth tables

4.all of the above

Question: `Operations in the neural networks can perform what kind of operations?`

1.serial

2.parallel

3.serial or parallel

4.none of the mentioned

Question: `Step size in dynamic EP :`

1.deviation in step sizes remain static

2.deviation in step sizes change over time using some deterministic function

3.deviation in step size change dynamically

4.size=1

Question: `Step size in non-adaptive EP :`

1.deviation in step sizes remain static

2.deviation in step sizes change over time using some deterministic function

3.deviation in step size change dynamically

4.size=1

Question: `Step size in self-adaptive EP :`

1. deviation in step sizes remain static

2.deviation in step sizes change over time using some deterministic function

3.deviation in step size change dynamically

4.size=1

Question: `Termination condition for EA`

1.mazimally allowed cpu time is elapsed

2.total number of fitness evaluations reaches a given limit

3.population diveristy drops under a given threshold

4. all the mentioned

Question: `The fuzzy proposition "IF X is E then Y is F" is a`

1.conditional unqualifi

2.unconditional unq

3.conditional qualifie

4.unconditional qualified

Question: `The values of the set membership is represented by `

1.discrete set

2.degree of truth

3.probabilities

4.both degree of truth& probabilities

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

1.hedges

2.lingual variable

3.fuzz variable

4.none of the mentioned

Question: `What Are The Two Types Of Fuzzy Inference Systems?`

1.model-type and system-type

2.momfred-type and semigi-type

3.mamdani-type and sugeno-type

4.mihni-type and sujgani-type

Question: `What Is Another Name For Fuzzy Inference Systems?`

1.. fuzzy expert system

2.fuzzy modelling

3.fuzzy logic controller

4.All of the above

Question: `What is ART in neural networks?`

1.automatic resonance theory

2.artificial resonance theory

4.none of the mentioned

Question: `Which crossover operators are used in evolutionary programming?`

1.single point crossover

2.two point crossover

3.uniform crossover

4.evolutionary programming doesnot use crossover operators

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

1. (a) only

2.(b) only

3.(a) and (b) only

4. (a) and (c) only

Question: `Which of these emphasize of development of behavioral models?`

1.evolutionary programming

2.genetic programming

3.genetic algorithm

4.all the mentioned

Question: `Which selection strategy works with negative fitness value?`

1.roulette wheel selection

2.stochastic universal sampling

3. tournament selection

4.rank selection

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