McqMate
These multiple-choice questions (MCQs) are designed to enhance your knowledge and understanding in the following areas: Uncategorized topics .
| 1. |
When we say that the boundary is crisp |
| A. | distinguish two regions clearly |
| B. | cannot distinguish two regions clearly |
| C. | collection of ordered pairs |
| D. | none of these |
| Answer» A. distinguish two regions clearly | |
| 2. |
In computing the output is called as |
| A. | consequent |
| B. | outfeed |
| C. | anticedents |
| D. | premise |
| Answer» A. consequent | |
| 3. |
Fuzzy logic is a form of |
| A. | two valued logic |
| B. | crisp set logic |
| C. | many value logic |
| D. | binary set logic |
| Answer» C. many value logic | |
| 4. |
Control actions while computing should be |
| A. | ambiguous |
| B. | unambioguos |
| C. | inaccurate |
| D. | none of these |
| Answer» B. unambioguos | |
| 5. |
Core of soft computing is |
| A. | fuzzy computing,neural computing,genetic algorithm |
| B. | fuzzy network and artificial intelligence |
| C. | neural science |
| D. | genetic science |
| Answer» A. fuzzy computing,neural computing,genetic algorithm | |
| 6. |
Hard computing perfforms what type of computation |
| A. | sequential |
| B. | parallel |
| C. | approxiamate |
| D. | both a and b |
| Answer» A. sequential | |
| 7. |
Who iniated idea of sofft computing |
| A. | charles darwin |
| B. | rich and berg |
| C. | mc culloch |
| D. | lofti a zadeh |
| Answer» D. lofti a zadeh | |
| 8. |
Soft computing is based on |
| A. | fuzzy logic |
| B. | neural science |
| C. | crisp software |
| D. | binary logic |
| Answer» A. fuzzy logic | |
| 9. |
In soft computing the problems,algorithms can be |
| A. | non adaptive |
| B. | adaptive |
| C. | static |
| D. | all of the above |
| Answer» B. adaptive | |
| 10. |
Fuzzy Computing |
| A. | mimics human behaviour |
| B. | deals with inprecise,probablistic |
| C. | exact information |
| D. | both a and b |
| Answer» D. both a and b | |
| 11. |
Hard computing is also called as |
| A. | evolutionary computing |
| B. | conventional computing |
| C. | non conventional computing |
| D. | probablistic computing |
| Answer» B. conventional computing | |
| 12. |
Which computing produces accurate results |
| A. | soft computing |
| B. | hard computing |
| C. | both a and b |
| D. | none of the above |
| Answer» B. hard computing | |
| 13. |
Neural network computing |
| A. | mimics human behaviour |
| B. | information processing paradigm |
| C. | both a and b |
| D. | none of the above |
| Answer» C. both a and b | |
| 14. |
Artificial neural network is used for |
| A. | pattern recognition |
| B. | classification |
| C. | clustering |
| D. | all of the above |
| Answer» D. all of the above | |
| 15. |
How does blind search differ from optimization |
| A. | blind search represent a guided approach while optimization is unguided |
| B. | blind search usually does not conclude in one step like some optimization methods. |
| C. | blind search cannot result in optimal solution whereas optimization method do |
| D. | none of these |
| Answer» B. blind search usually does not conclude in one step like some optimization methods. | |
| 16. |
In modeling,an optimal solution is understood to be |
| A. | a solution that can only be determined by an exhaustive enumeration testing of alternatives |
| B. | a solution found in the least possible time and using the least possible computing resources |
| C. | a solution that is the best based on criteria defined in the design phase |
| D. | a solution that requires an algorithm for the determination |
| Answer» C. a solution that is the best based on criteria defined in the design phase | |
| 17. |
When is a complete enumeration of solution used? |
| A. | when a solution that is "good enough" is fine and good heuristics are available |
| B. | when there is enough time and computational power available |
| C. | when the modeler requires a guided approach to problem solving |
| D. | when there are an infinite number of solution to be searched |
| Answer» B. when there is enough time and computational power available | |
| 18. |
All of the follwing are true about heuristics EXCEPT |
| A. | heuristics are used when the modeler requires a guided approach to problem solving |
| B. | heuristics are used when a solution that is "good enough" is sought |
| C. | heuristics are used when there is abundant time and computational power |
| D. | heuristics are rules of good judgement |
| Answer» C. heuristics are used when there is abundant time and computational power | |
| 19. |
Which approach is most suited to structured problem with little uncertainity |
| A. | simuation |
| B. | human intuition |
| C. | optimization |
| D. | genetic algorithm |
| Answer» C. optimization | |
| 20. |
Genetic algorithm belong to the family of method in the |
| A. | artifical intelligence area |
| B. | optimization area |
| C. | complete enumeration family of methods |
| D. | non computer based isolation area |
| Answer» A. artifical intelligence area | |
| 21. |
What does the 0 membership value means in the set |
| A. | the object is fully inside the set |
| B. | the object is not in the set |
| C. | the object is partially present in the set |
| D. | none of the above |
| Answer» B. the object is not in the set | |
| 22. |
The union of two fuzzy sets is the_______of each element from two sets |
| A. | maximum |
| B. | minimum |
| C. | equal to |
| D. | not equal to |
| Answer» A. maximum | |
| 23. |
The process of fuzzy interference system involes |
| A. | membership functions |
| B. | fuzzy logic operators |
| C. | if-then rules |
| D. | all the above |
| Answer» D. all the above | |
| 24. |
What does a fuzzifier do |
| A. | coverts crisp input to linguistic variables |
| B. | coverts crisp ouput to linguistic variables |
| C. | coverts fuzzy input to linguistic variables |
| D. | coverts fuzzy output to linguistic variables |
| Answer» A. coverts crisp input to linguistic variables | |
| 25. |
Which of the folloowing is not defuzzifier method |
| A. | centroid of area |
| B. | mean of maximum |
| C. | largest of maximum |
| D. | hypotenuse of triangle |
| Answer» D. hypotenuse of triangle | |
| 26. |
Which of the following is/are type of fuzzy interference method |
| A. | mamdani |
| B. | sugeno |
| C. | rivest |
| D. | only a and b |
| Answer» D. only a and b | |
| 27. |
A Fuzzy rule can have |
| A. | multiple part of antecedent,only single part of consequent |
| B. | only single part of antecedent,mutiple part of consequent |
| C. | multiple part of antecedent,multiple part of consequent |
| D. | only single part of antecedent,only single part of consequent |
| Answer» C. multiple part of antecedent,multiple part of consequent | |
| 28. |
The a cut of a fuzzy set A is a crisp set defined by :- |
| A. | {x|ua(x)>a} |
| B. | {x|ua(x)>=a} |
| C. | {x|ua(x)<a} |
| D. | {x|ua(x)<=a} |
| Answer» B. {x|ua(x)>=a} | |
| 29. |
The bandwidth(A) in a fuzzy set is given by |
| A. | (a)=|x1*x2| |
| B. | (a)=|x1+x2| |
| C. | (a)=|x1-x2| |
| D. | (a)=|x1/x2| |
| Answer» C. (a)=|x1-x2| | |
| 30. |
The intersection of two fuzzy sets is the_______of each element from two sets |
| A. | maximum |
| B. | minimum |
| C. | equal to |
| D. | not equal to |
| Answer» B. minimum | |
| 31. |
A={1/a,0.3/b,0.2/c,0.8/d,0/e} B={0.6/a,0.9/b,0.1/c,0.3/d,0.2/e} What will be the complement of A? |
| A. | {0/a,0.7/b,0.8/c,0.2/d,1/e} |
| B. | {0/a,0.9/b,0.7/c,0.2/d,1/e} |
| C. | {0.8/a,0.7/b,0.8/c,0.7/d,1/e} |
| D. | {0/a,0.7/b,0.8/c,0.9/d,1/e} |
| Answer» A. {0/a,0.7/b,0.8/c,0.2/d,1/e} | |
| 32. |
A={1/a,0.3/b,0.2/c,0.8/d,0/e} B={0.6/a,0.9/b,0.1/c,0.3/d,0.2/e} What will be the union of AUB? |
| A. | {1/a,0.9/b,0.1/c,0.5/d,0.2/e} |
| B. | {0.8/a,0.9/b,0.2/c,0.5/d,0.2/e} |
| C. | {1/a,0.9/b,0.2/c,0.8/d,0.2/e} |
| D. | {1/a,0.9/b,0.2/c,0.8/d,0.8/e} |
| Answer» C. {1/a,0.9/b,0.2/c,0.8/d,0.2/e} | |
| 33. |
A={1/a,0.3/b,0.2/c,0.8/d,0/e} B={0.6/a,0.9/b,0.1/c,0.3/d,0.2/e} What will be the intersection of A and B ? |
| A. | {0.6/a,0.3/b,0.1/c,0.3/d,0/e} |
| B. | {0.6/a,0.8/b,0.1/c,0.3/d,0/e} |
| C. | {0.6/a,0.3/b,0.1/c,0.5/d,0/e} |
| D. | {0.6/a,0.3/b,0.2/c,0.3/d,1/e} |
| Answer» A. {0.6/a,0.3/b,0.1/c,0.3/d,0/e} | |
| 34. |
What denotes the support(A) in a fuzzy set? |
| A. | {x|ua(x)>0} |
| B. | {x|ua(x)<0} |
| C. | {x|ua(x)<=0} |
| D. | {x|ua(x)<0.5} |
| Answer» A. {x|ua(x)>0} | |
| 35. |
What denotes the core(A) in a fuzzy set? |
| A. | {x|ua(x)>0} |
| B. | {x|ua(x)=1} |
| C. | {x|ua(x)>=0.5} |
| D. | {x|ua(x)>0.8} |
| Answer» B. {x|ua(x)=1} | |
| 36. |
Fuzzy logic deals with which of the following |
| A. | fuzzy set |
| B. | fuzzy algebra |
| C. | both a and b |
| D. | none of the above |
| Answer» C. both a and b | |
| 37. |
which of the following is a sequence of steps taken in designning a fuzy logic machine |
| A. | fuzzification->rule evaluation->deffuzification |
| B. | deffuzification->rule evaluation->fuzzification |
| C. | rule evaluation->fuzzification->deffuzification |
| D. | rule evaluation->defuzzification->fuzzification |
| Answer» A. fuzzification->rule evaluation->deffuzification | |
| 38. |
can a crisp set be a fuzzy set? |
| A. | no |
| B. | yes |
| C. | depends |
| D. | all of the above |
| Answer» B. yes | |
| 39. |
All of the follwing are suitable problem for genetic algorithm EXCEPT |
| A. | pattern recognization |
| B. | simulation of biological models |
| C. | simple optimization with few variables |
| D. | dynamic process control |
| Answer» C. simple optimization with few variables | |
| 40. |
Tabu search is an example of ? |
| A. | heuristic |
| B. | evolutionary algorithm |
| C. | aco |
| D. | pso |
| Answer» A. heuristic | |
| 41. |
Genetic algorithms are example of |
| A. | heuristic |
| B. | evolutionary algorithm |
| C. | aco |
| D. | pso |
| Answer» B. evolutionary algorithm | |
| 42. |
mutation is applied on __candidates. |
| A. | one |
| B. | two |
| C. | more than two |
| D. | noneof these |
| Answer» A. one | |
| 43. |
recombination is applied on __candidates. |
| A. | one |
| B. | two |
| C. | more than two |
| D. | noneof these |
| Answer» B. two | |
| 44. |
LCS belongs to ___ based methods? |
| A. | rule based learning |
| B. | genetic learning |
| C. | both a and b |
| D. | noneof these |
| Answer» A. rule based learning | |
| 45. |
Survival is ___ approach. |
| A. | deteministic |
| B. | non deterministic |
| C. | semi deterministic |
| D. | noneof these |
| Answer» A. deteministic | |
| 46. |
Evolutionary algorithms are a ___ based approach |
| A. | heuristic |
| B. | metaheuristic |
| C. | both a and b |
| D. | noneof these |
| Answer» A. heuristic | |
| 47. |
Idea of genetic algorithm came from |
| A. | machines |
| B. | birds |
| C. | aco |
| D. | genetics |
| Answer» D. genetics | |
| 48. |
Chromosomes are actually ? |
| A. | line representation |
| B. | string representation |
| C. | circular representation |
| D. | all of these |
| Answer» B. string representation | |
| 49. |
what are the parameters that affect GA are/is |
| A. | selection process |
| B. | initial population |
| C. | both a and b |
| D. | none of these |
| Answer» C. both a and b | |
| 50. |
Evolutionary programming was developef by |
| A. | fredrik |
| B. | fodgel |
| C. | frank |
| D. | flin |
| Answer» B. fodgel | |
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