Exam Details
| Subject | Fuzzy Systems | |
| Paper | ||
| Exam / Course | Diploma -VIEP-Computer Science and Engineering(DCSVI)/Advanced Level O Certificate Course In Cse (ACCSVI) B.Tech. Computer Science And Engineering (BT | |
| Department | School of Engineering & Technology (SOET) | |
| Organization | indira gandhi national open university | |
| Position | ||
| Exam Date | June, 2016 | |
| City, State | new delhi, |
Question Paper
No. of Printed Pages: 2 IBICSE-004I
B.Tech. -VIEP -COMPUTER SCIENCE AND .
ENGINEERING (BTCSVI)
Term-End Examination
JUne, 2016
BICSE-004 FUZZY SYSTEMS
Time hours Maximum Marks: 70
Note: Answer any seven questions. All questions carry equal marks. Assume the missing data, if any.
1. Compare and contrast between crisp variables and fuzzy variables. Give example. 5
Explain how uncertainty and impressionism can be modelled with fuzzy logic theory. 5
2. What are the different forms of uncertainty in information world? Explain briefly. 5
Differentiate between "Crisp sets" and "Fuzzy sets". 5
3. Give the overview of fuzzy controllers and describe the general scheme of a fuzzy controller with diagram. 5
What are the different defuzzification methods in fuzzy control? 5
4. Explain the concept of fuzzy databases completely. 5
Define the multicriteria decision making and explain it with suitable examples. 5
5. Prove that properties of symmetry, reflexivity and transivity (or lack of these properties) are preserved under inversion of both and fuzzy relations. 10
6. Describe the Genetic algorithm and show how it can be useful in fuzzy system. 10
7. Explain intelligent solution for "Pattern Recognition for fingerprints" using fuzzy logic. 10
8. Describe Fuzzy Bayesian Decision Method. 5
What do you understand by cluster Explain fuzzy c-means clustering. 5
9. What is Hartley function and how is it related to U-uncertainty Give proper mathematical expressions. 10
10. Write short notes on any two of the following.: 2x5=10
Advantages of fuzzy logic control over the artificial neural networks
Limitation of the recurrent back propagation algorithm
Adaptive Resonance theory
Hopfield Networks
B.Tech. -VIEP -COMPUTER SCIENCE AND .
ENGINEERING (BTCSVI)
Term-End Examination
JUne, 2016
BICSE-004 FUZZY SYSTEMS
Time hours Maximum Marks: 70
Note: Answer any seven questions. All questions carry equal marks. Assume the missing data, if any.
1. Compare and contrast between crisp variables and fuzzy variables. Give example. 5
Explain how uncertainty and impressionism can be modelled with fuzzy logic theory. 5
2. What are the different forms of uncertainty in information world? Explain briefly. 5
Differentiate between "Crisp sets" and "Fuzzy sets". 5
3. Give the overview of fuzzy controllers and describe the general scheme of a fuzzy controller with diagram. 5
What are the different defuzzification methods in fuzzy control? 5
4. Explain the concept of fuzzy databases completely. 5
Define the multicriteria decision making and explain it with suitable examples. 5
5. Prove that properties of symmetry, reflexivity and transivity (or lack of these properties) are preserved under inversion of both and fuzzy relations. 10
6. Describe the Genetic algorithm and show how it can be useful in fuzzy system. 10
7. Explain intelligent solution for "Pattern Recognition for fingerprints" using fuzzy logic. 10
8. Describe Fuzzy Bayesian Decision Method. 5
What do you understand by cluster Explain fuzzy c-means clustering. 5
9. What is Hartley function and how is it related to U-uncertainty Give proper mathematical expressions. 10
10. Write short notes on any two of the following.: 2x5=10
Advantages of fuzzy logic control over the artificial neural networks
Limitation of the recurrent back propagation algorithm
Adaptive Resonance theory
Hopfield Networks
Other Question Papers
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