What Are The Two Types Of Fuzzy Inference Systems?

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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

Posted Date:-2022-07-13 13:06:49

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
  7. In fuzzy propositions, ---- gives an approximate idea of the number of elements of a subset fulfilling certain conditions
  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. (1+1) ES
  13. -- defines logic funtion of two prepositions
  14. . In Evolutionary programming, recombination is
  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
  21. Basic elements of EA are ?
  22. Both fuzzy logic and artificial neural network are soft computing techniques because
  23. 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
  24. 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
  25. 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
  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
  29. For what purpose Feedback neural networks are primarily used?
  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
  32. In Evolutionary programming,
  33. Mamdani's Fuzzy Inference Method Was Designed To Attempt What?
  34. Multiple disjuctives antecedents is method of ----- in FLC
  35. Operations in the neural networks can perform what kind of operations?
  36. Step size in dynamic EP :
  37. Step size in non-adaptive EP :
  38. Step size in self-adaptive EP :
  39. Termination condition for EA
  40. The fuzzy proposition "IF X is E then Y is F" is a
  41. The values of the set membership is represented by
  42. There are also other operators, more linguistic in nature, called that can be applied to fuzzy set theory.
  43. What Are The Two Types Of Fuzzy Inference Systems?
  44. What Is Another Name For Fuzzy Inference Systems?
  45. What is ART in neural networks?
  46. Which crossover operators are used in evolutionary programming?
  47. Which of the following neural networks uses supervised learning? (A) Multilayer perceptron (B) Self organizing feature map (C) Hopfield network
  48. Which of these emphasize of development of behavioral models?
  49. Which selection strategy works with negative fitness value?
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