Computer Engineering Soft Computing Set 1

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This set of Computer Engineering Soft Computing Multiple Choice Questions & Answers (MCQs) focuses on Computer Engineering Soft Computing Set 1

Q1 | When we say that the boundary is crisp
  • distinguish two regio
  • cannot distinguis
  • collection of ordere
  • none of these
Q2 | In computing the output is called as
  • consequent
  • outfeed
  • anticedents
  • premise
Q3 | Fuzzy logic is a form of
  • two valued logic
  • crisp set logic
  • many value logic
  • binary set logic
Q4 | Control actions while computing should be
  • ambiguous
  • unambioguos
  • inaccurate
  • none of these
Q5 | Core of soft computing is
  • fuzzy computing,neu
  • fuzzy network an
  • neural science
  • genetic science
Q6 | Hard computing perfforms what type of computation
  • sequential
  • parallel
  • approxiamate
  • both a and b
Q7 | Who iniated idea of sofft computing
  • charles darwin
  • rich and berg
  • mc culloch
  • lofti a zadeh
Q8 | Soft computing is based on
  • fuzzy logic
  • neural science
  • crisp software
  • binary logic
Q9 | In soft computing the problems,algorithms can be
  • non adaptive
  • adaptive
  • static
  • all of the above
Q10 | Fuzzy Computing
  • mimics human behav
  • deals with inpreci
  • exact information
  • both a and b
Q11 | Hard computing is also called as
  • evolutionary comput
  • conventional com
  • non conventional co
  • probablistic computing
Q12 | Which computing produces accurate results
  • soft computing
  • hard computing
  • both a and b
  • none of the above
Q13 | Neural network computing
  • mimics human behav
  • information proce
  • both a and b
  • none of the above
Q14 | Artificial neural network is used for
  • pattern recognition
  • classification
  • clustering
  • all of the above
Q15 | How does blind search differ from optimization
  • blind search represe
  • blind search usua
  • blind search cannot
  • none of these
Q16 | In modeling,an optimal solution is understood to be
  • a solution that can o
  • a solution found i
  • a solution that is th
  • a solution that require
Q17 | When is a complete enumeration of solution used?
  • when a solution that
  • when there is en
  • when the modeler
  • when there are an infi
Q18 | All of the follwing are true about heuristics EXCEPT
  • heuristics are used w
  • heuristics are use
  • heuristics are used
  • heuristics are rules of
Q19 | Which approach is most suited to structured problem with little uncertainity
  • simuation
  • human intuition
  • optimization
  • genetic algorithm
Q20 | Genetic algorithm belong to the family of method in the
  • artifical intelligence a
  • optimization area
  • complete enumerat
  • non computer based i
Q21 | What does the 0 membership value means in the set
  • the object is fully insi
  • the object is not i
  • the object is partiall
  • none of the above
Q22 | The union of two fuzzy sets is the of each element from two sets
  • maximum
  • minimum
  • equal to
  • not equal to
Q23 | The process of fuzzy interference system involes
  • membership function
  • fuzzy logic operat
  • if-then rules
  • all the above
Q24 | What does a fuzzifier do
  • coverts crisp input to
  • coverts crisp oupu
  • coverts fuzzy input
  • coverts fuzzy output to
Q25 | Which of the folloowing is not defuzzifier method
  • centroid of area
  • mean of maximu
  • largest of maximum
  • hypotenuse of triangle