Semester : SEMESTER 5
Subject : Soft Computing
Year : 2022
Term : JANUARY
Branch : COMPUTER SCIENCE AND ENGINEERING
Scheme : 2015 Full Time
Course Code : CS 361
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What is defuzzification? Explain different defuzzification methods with
examples.
PART E
Answer any four full questions, each carries 10 marks.
Explain different types of fuzzy qualifiers.
Explain the canonical form of fuzzy rule based system. What are the different
methods for decomposition of compound fuzzy rules into canonical form?
Explain.
Describe two methods for aggregation of fuzzy rules.
Differentiate between Mamdani FIS and Sugeno FIS in detail.
Compare fuzzy systems with neural networks. What are the characteristics of
neuro-fuzzy hybrid systems?
What are the different classifications of neuro-fuzzy hybrid systems? Explain
each with their architectural diagrams.
Explain five different types of selection and crossover genetic operators.
Explain the difference between flipping, interchanging and reversing with
example.
What are the stopping conditions and termination techniques for genetic
algorithm flow.
What is genetic-fuzzy rule based systems? Explain its block diagram and
advantages.
Differentiate between tuning and learning problems. Explain genetic tuning
process, genetic learning of rule bases and genetic learning of knowledge
bases.
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