B.TechSemester 42021-22Introduction To Soft ComputingKOE046
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Introduction To Soft Computing (KOE046) - AKTU Question Paper 2021-22

B.Tech · Semester 4 · Free PDF Download

This is the official AKTU Introduction To Soft Computing Previous Year Question Paper for B.Tech Semester 4, academic session 2021-22. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:B.Tech
Semester:Semester 4
Session:2021-22
University:AKTU / UPTU

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Questions Asked in 2021-22

Introduction To Soft Computing (KOE046) — complete question paper

Section AAttempt all q u e s t i o n s i n b r i e f . 2 x 1 0 = 2 0
  • a
    Explain the differences betw een artificial and biological neurons. 1
  • b
    What is soft computing? What distinguishes it from traditio nal computing? 1
  • c
    What are some examples of fuzzy logic's applications? 2
  • d
    Distinguish between crisp and fuzzy sets. 2
  • e
    What is defuzzification and why is it required? Explain mean of maxima and center of sum method
  • f
    Differentiate between probability theory and Fuzzy set theo ry. 3
  • g
    How do genetic algorithms perform more effectively than con ventional methods?
  • h
    Explain genetic algorithms' Roulette Wheel Selection in a f ew words. 4 (i) What is crossover in genetic algorithm. 5 (j) What is the use of mutation in genetic algorithm? 5
Section BAttempt any three o f t h e f o l l o w i n g : 1 0 x 3 = 3 0
  • a
    Describe artificial neural network multilayer perceptron model. 1
  • b
    Let A and B be two fuzzy sets given by A: {(x1, 0.2), (x2,0 .5), (x3, 0.6)}; B : {(x1, 0.1), (x2,0.4), (x3,0.5)}. Find (A-B)2
  • c
    What will the input and output be for an air conditioner in a fuzzy controller? 3
  • d
    Define the generation cycle . Describe the various applications of genetic algorithms
  • e
    How soft computing can be used in internet search technique s? Explain with suitable example
Section CAttempt any one p a r t o f t h e f o l l o w i n g : 1 0 x 1 = 1 0
  • a
    Explain the Hopfield network with an example. 1
  • b
    Discuss about the supervised learning strategy. 1
  • a
    Give reasons for using fuzzy logic in AI. List a few exampl es from the world of industry where fuzzy logic is utilized for control
  • b
    Let X = {a, b, c, d} Y={1,2,3 ,4} And the three fuzzy sets be given as:
    Fuzzy set A = { (a,0) (b,0.8) (c,0.6) (d,1)}
Fuzzy set B = { (1,0.2) (2,1) (3,0.8) (4,0)}
Fuzzy set C = { (1,0) (2,0.4) (3,1) (4,0.8)}
Calculate the implication relation
i IF x is Fuzzy set A THEN y is Fuzzy set B
ii IF x is Fuzzy set A THEN y is Fuzzy set B ELSE y is Fuzzy set C
  • a
    Two fuzzy sets I and F are defined as:
     I = {(F,0.4), (E,0.3), (X,0.1), (Y,0.1), (I,0.9), (T,0.8)}
 F = {(F,0.99), (E,0.8), (X,0.1), (Y,0.2), (I,0.5), (T,0.5)}
Determine the following:
i.) Fuzzy set I – Fuzzy set F
ii.) Verify (De Morgan’s Law) following: Complement of (Fuzzy
set I U Fuzzy set F) = (Complement of Fuzzy set I) Ո
(Complement of Fuzzy set F)
  • b
    Illustrate various defuzzification methods in details. 3
  • a
    Explain rank selection and Roulette wheel selection methods . 4
  • b
    What exactly do genetic bitwise operators do? Explain. 4
  • a
    Propose a solution to travelling salesman problem using gen etic algorithm. 5
  • b
    What two requirements should a problem satisfy in order to be suitable for solving it by a GA?

Question text is extracted from the official AKTU question paper PDF above. Hindi translations are omitted — every question is printed in English in the original paper. Last verified: 2026-08-23.

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