Download GTU (Gujarat Technological University) BE/BTech (Bachelor of Engineering / Bachelor of Technology) 2018 Winter 8th Sem New 2181710 Soft Computing In Control Previous Question Paper
Seat No.: ________ Enrolment No.___________
GUJARAT TECHNOLOGICAL UNIVERSITY
BE - SEMESTER ?VIII (NEW) EXAMINATION ? WINTER 2018
Subject Code: 2181710 Date: 15/11/2018
Subject Name: Soft Computing In Control
Time: 02:30 PM TO 05:00 PM Total Marks: 70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.
MARKS
Q.1 (a) Explain various operations that can be performed on fuzzy sets. 03
(b) Describe the concept of a fuzzy set in your own words. 04
(c) Explain the difference between randomness and fuzziness. 07
Q.2 (a)
What is meant by fuzzy decision making process?
03
(b)
How is the polling concept adopted in rank ordering method to define the
membership values?
04
(c)
Explain Mamdani method in detail.
07
OR
(c)
With the help of block diagram explain working of fuzzy logic control
system
07
Q.3 (a) What is the necessity to convert the fuzzy quantities into crisp
quantities?
03
(b)
Discuss about the Demorgan?s law for the fuzzy sets. Say whether it is
similar to that of classical sets
04
(c)
State and explain various methods of de-fuzzification.
07
OR
Q.3 (a)
Define fuzzy inference system. Draw its working diagram.
03
(b) Illustrate fuzzy logic on distributed process control systems. 04
(c)
Describe the application of fuzzy logic for washing machine control.
07
Q.4 (a) Define the Cartesian product of two fuzzy sets with the help of an
example.
03
(b) What is artificial neural network? Draw the architecture of basic
neural network.
04
(c)
Explain in detail optimization of Water treatment system using fuzzy
logic.
07
OR
Q.4 (a) What is the significance of initial weights and learning rate in the
training of artificial neural network?
03
(b)
Explain the concept of learning and state various modes of learning.
04
(c)
Explain in detail application of fuzzy control for optimal operation of
Complex Chilling Systems.
07
Q.5 (a) State the features of membership functions. 03
(b) What is membership function of a fuzzy set? Explain different types
of membership functions used in fuzzy system.
04
(c)
Explain in detail implementation of fuzzy logic control in control of AC
induction motor.
07
OR
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1
Seat No.: ________ Enrolment No.___________
GUJARAT TECHNOLOGICAL UNIVERSITY
BE - SEMESTER ?VIII (NEW) EXAMINATION ? WINTER 2018
Subject Code: 2181710 Date: 15/11/2018
Subject Name: Soft Computing In Control
Time: 02:30 PM TO 05:00 PM Total Marks: 70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.
MARKS
Q.1 (a) Explain various operations that can be performed on fuzzy sets. 03
(b) Describe the concept of a fuzzy set in your own words. 04
(c) Explain the difference between randomness and fuzziness. 07
Q.2 (a)
What is meant by fuzzy decision making process?
03
(b)
How is the polling concept adopted in rank ordering method to define the
membership values?
04
(c)
Explain Mamdani method in detail.
07
OR
(c)
With the help of block diagram explain working of fuzzy logic control
system
07
Q.3 (a) What is the necessity to convert the fuzzy quantities into crisp
quantities?
03
(b)
Discuss about the Demorgan?s law for the fuzzy sets. Say whether it is
similar to that of classical sets
04
(c)
State and explain various methods of de-fuzzification.
07
OR
Q.3 (a)
Define fuzzy inference system. Draw its working diagram.
03
(b) Illustrate fuzzy logic on distributed process control systems. 04
(c)
Describe the application of fuzzy logic for washing machine control.
07
Q.4 (a) Define the Cartesian product of two fuzzy sets with the help of an
example.
03
(b) What is artificial neural network? Draw the architecture of basic
neural network.
04
(c)
Explain in detail optimization of Water treatment system using fuzzy
logic.
07
OR
Q.4 (a) What is the significance of initial weights and learning rate in the
training of artificial neural network?
03
(b)
Explain the concept of learning and state various modes of learning.
04
(c)
Explain in detail application of fuzzy control for optimal operation of
Complex Chilling Systems.
07
Q.5 (a) State the features of membership functions. 03
(b) What is membership function of a fuzzy set? Explain different types
of membership functions used in fuzzy system.
04
(c)
Explain in detail implementation of fuzzy logic control in control of AC
induction motor.
07
OR
2
Q.5 (a)
How is the excluded middle law different for the fuzzy set and the classical
set?
03
(b) What is the role of membership function in the design of fuzzy logic
control?
04
(c)
Explain in detail implementation of fuzzy logic control in control of Power
Plant.
07
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This post was last modified on 20 February 2020