Semester : SEMESTER 5
Subject : Soft Computing
Year : 2019
Term : MAY
Branch : COMPUTER SCIENCE AND ENGINEERING
Scheme : 2015 Full Time
Course Code : CS 361
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E1250 Pages: 2
Differentiate the following
(a) Convex and Nonconvex Fuzzy Set.
(b) Normal and Subnormal Fuzzy Set.
For a speed control of DC motor, the membership function of series resistance,
armature current and speed are given as follows
0.4 | 0.6 | 10 0.
R= [% +۶ 106 + मौ
0.2 । 0.3 । 06
1,- (5 + 40 + 60 7 ४0 + 100 120
0.35 0.67 0.97 0.25
N { san}
08 1.0 aa}
500 1000 1500 1800
Compute relation T for relating series resistance to motor speed ie Rs. to 14. Perform
max-min composition.
Explain different defuzzification methods.
PARTE
Answer any four full questions, each carries 10 marks.
With the help of a block diagram explain Genetic Neuro Hybrid Systems.
Write a note on Fuzzy Qualifiers.
Explain the methods used for decomposing compound linguistic rules into simple
canonical rules.
Explain the steps of Genetic Algorithm.
Describe two methods used for Aggregation of Fuzzy Rules.
Write any three advantages of Neuro- Genetic hybrid system.
Explain Value Encoding and Permutation Encoding with example.
Explain stopping condition for Genetic Algorithm.
Describe 5 types of Crossover.
Distinguish between Mamdani FIS and Sugeno FIS.
Explain Stochastic Universal Sampling with example.
Explain the following terms
(a) Cooperative Neural Fuzzy Systems
(b) General Neuro Fuzzy Hybrid Systems
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