Computer Engineering Soft Computing Set 4
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This set of Computer Engineering Soft Computing Multiple Choice Questions & Answers (MCQs) focuses on Computer Engineering Soft Computing Set 4
Q1 | Feature of ANN in which ANN creates its own organization or representation of information it receives during learning time is
- adaptive learning
- self organization
- what-if analysis
- supervised learning
Q2 | Any soft-computing methodology is characterised by
- precise solution
- control actions are unambiguous and accurate
- control actions is formally defined
- algorithm which can easily adapt with the change of dynamic environment
Q3 | For what purpose Feedback neural networks are primarily used?
- classification
- feature mapping
- pattern mapping
- none of the mentioned
Q4 | Operations in the neural networks can perform what kind of operations?
- serial
- parallel
- serial or parallel
- none of the mentioned
Q5 | What is ART in neural networks?
- automatic resonance theory
- artificial resonance theory
- adaptive resonance theory
- none of the mentioned
Q6 | The values of the set membership is represented by
- discrete set
- degree of truth
- probabilities
- both degree of truth& probabilities
Q7 | Given U = {1,2,3,4,5,6,7} A = {(3, 0.7), (5, 1), (6, 0.8)}then A will be: (where ~ → complement)
- {(4, 0.7), (2,1), (1,0.8)
- {(4, 0.3.): (5, 0), (6
- {(l, 1), (2, 1), (3, 0.3)
- {(3, 0.3), (6.0.2)}
Q8 | If A and B are two fuzzy sets with membership functionsμA(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
- {0.9, 0.5, 0.6, 0.8, 0.8
- {0.6, 0.2, 0.1, 0.7,
- {0.1, 0.5, 0.4, 0.2, 0.
- {0.1, 0.5, 0.4, 0.2, 0.3}
Q9 | 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 asμA+B(z) = maxx+y=z (min(μA(x), μB(x))) Then, f(A+B) is equal to
- {(0.5,12), (0.6,13), (1,
- {(0.5,12), (0.6,13),
- {(0.3,12), (0.5,13), (
- {(0.3,12), (0.5,13), (0.6
Q10 | A U (B U C) =
- (a ∩ b) ∩ (a ∩ c)
- (a ∪ b ) ∪ c
- (a ∪ b) ∩ (a ∪ c)
- b ∩ a ∪ c
Q11 | Consider a fuzzy set A defined on the interval X = [0, 10] of integers by the membership JunctionμA(x) = x / (x+2) Then the α cut corresponding to α = 0.5 will be
- {0, 1, 2, 3, 4, 5, 6, 7, 8
- {1, 2, 3, 4, 5, 6, 7,
- {2, 3, 4, 5, 6, 7, 8, 9,
- none of the above
Q12 | The fuzzy proposition "IF X is E then Y is F" is a
- conditional unqualifi
- unconditional unq
- conditional qualifie
- unconditional qualified
Q13 | Choose the correct statement1. A fuzzy set is a crisp set but the reverse is not true2. 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 ≤ C3. Membership function defines the fuzziness in a fuzzy set irrespecive of the elements in the set, which are discrete or continuous
- 1 only
- 2 and 3
- 1,2 and 3
- none of these
Q14 | An equivalence between Fuzzy vs Probability to that of Prediction vs Forecasting is
- fuzzy ≈ prediction
- fuzzy ≈ forecastin
- probability ≈ foreca
- none of these
Q15 | Both fuzzy logic and artificial neural network are soft computing techniques because
- both gives precise an
- ann gives accura
- in each, no precise
- fuzzy gives exact resul
Q16 | A fuzzy set whose membership function has at least one element x in the universe whose membership valueis unity is called
- sub normal fuzzy sets
- normal fuzzy set
- convex fuzzy set
- concave fuzzy set
Q17 | ----- defines logic funtion of two prepositions
- prepositions
- lingustic hedges
- truth tables
- inference rules
Q18 | In fuzzy propositions, ---- gives an approximate idea of the number of elements of a subset fulfilling certain conditions
- fuzzy predicate and predicate modifiers
- fuzzy quantifiers
- fuzzy qualifiers
- all of the above
Q19 | Multiple conjuctives antecedents is method of ----- in FLC
- decomposition rule
- formation of rule
- truth tables
- all of the above
Q20 | Multiple disjuctives antecedents is method of ----- in FLC
- decomposition rule
- formation of rule
- truth tables
- all of the above
Q21 | IF x is A and y is B then z=c (c is constant), is
- rule in zero order fis
- rule in first order fis
- both a and b
- neither a nor b
Q22 | A fuzzy set wherein no membership function has its value equal to 1 is called
- normal fuzzy set
- subnormal fuzzy set.
- convex fuzzy set
- concave fuzzy set
Q23 | Mamdani's Fuzzy Inference Method Was Designed To Attempt What?
- control any two combinations of any two products by synthesising a set of linguistic control rules obtained from experienced human operations.
- control any two combinations of any two products by synthesising a set of linguistic control rules obtained from experienced human operations.
- control a steam engine and a boiler combination by synthesising a set of linguistic control rules obtained from experienced human operations.
- control a air craft and fuel level combination by synthesising a set of linguistic control rules obtained from experienced human operations.
Q24 | What Are The Two Types Of Fuzzy Inference Systems?
- model-type and system-type
- momfred-type and semigi-type
- mamdani-type and sugeno-type
- mihni-type and sujgani-type
Q25 | What Is Another Name For Fuzzy Inference Systems?
- fuzzy expert system
- fuzzy modelling
- fuzzy logic controller
- all of the above