Any soft-computing methodology is characterised by

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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

Posted Date:-2022-07-13 05:28:38

More MCQS Questions and answers

  1. (1+λ) ES
  2. Both fuzzy logic and artificial neural network are soft computing techniques because
  3. IF x is A and y is B then z=c (c is constant), is
  4. In Evolutionary programming, survival selection is
  5. In Evolutionary strategy, recombination is
  6. In Evolutionary strategy, survival selection is
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  8. Multiple conjuctives antecedents is method of ----- in FLC
  9. What are normally the two best measurement units for an evolutionary algorithm? 1. Number of evaluations 2. Elapsed time 3. CPU Time 4. Number of generations
  10. What is the feature of ANNs due to which they can deal with noisy, fuzzy, inconsistent data?
  11. Which of the following operator is simplest selection operator?
  12. -- defines logic funtion of two prepositions
  13. . In Evolutionary programming, recombination is
  14. (1+1) ES
  15. 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
  16. A fuzzy set wherein no membership function has its value equal to 1 is called
  17. A fuzzy set whose membership function has at least one element x in the universe whose membership valueis unity is called
  18. A U (B U C) =
  19. An equivalence between Fuzzy vs Probability to that of Prediction vs Forecasting is
  20. Any soft-computing methodology is characterised by
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  26. EP applies which evolutionary operators?
  27. Evolutionary Strategies (ES)
  28. Feature of ANN in which ANN creates its own organization or representation of information it receives during learning time is
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  30. Given U = {1,2,3,4,5,6,7} A = {(3, 0.7), (5, 1), (6, 0.8)}then A will be: (where ~ → complement)
  31. 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
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  46. Which crossover operators are used in evolutionary programming?
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  48. Which of these emphasize of development of behavioral models?
  49. Which selection strategy works with negative fitness value?
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