Soft Computing (SC) MCQ's




Question 1 :
Which of the following transformations on membership functions of fuzzy sets enhances the membership values ?

  1. Dilation
  2. Concentration
  3. Intensification
  4. Fuzzification
  

Question 2 :
The number of elements in a set is called its_____.

  1. Modality
  2. Associativity
  3. Cardinality
  4. Elasticity
  

Question 3 :
How many layers are there in adaptive neuro-fuzzy inference systems (ANFIS) ?

  1. 3
  2. 5
  3. 7
  4. 4
  

Question 4 :
What is a way of representing individual genes?

  1. Conversion
  2. Encoding
  3. Coding
  4. Decoding
  

Question 5 :
Characteristic features of membership functions are:

  1. Intution, Inference, Rank Ordering
  2. Fuzzy Algorithm, Neural network, Genetic Algorithm
  3. Core, Support , Boundary
  4. Weighted Average, center of Sums, Median
  

Question 6 :
For Neuron, if w1=2, w2= -1 and input vector X=[0.8 1.2] and desired output d= 1, Determine value of T .

  1. T= 1
  2. T= 0
  3. T= 0.4
  4. T= -0.3
  

Question 7 :
Choose the correct sequence of steps taken in designing a fuzzy logic controller.

  1. Fuzzification → Rule evaluation → Defuzzification
  2. Fuzzification → Defuzzification → Rule evaluation
  3. Rule evaluation → Fuzzification → Defuzzification
  4. Rule evaluation → Defuzzification → Fuzzification
  

Question 8 :
Genetic Algorithms are inspired by____.

  1. Statistical mechanics
  2. Big bang theory
  3. Natural evolution
  4. Deployment theory
  

Question 9 :
From the below mentioned systems, choose the one which is not an hybrid system.

  1. Neuro fuzzy system
  2. Fuzzy logic system
  3. Fuzzy genetic
  4. Neuro genetic
  

Question 10 :
The coffee is warm.Here linguist variable warm can be represented by:

  1. Crisp Logic
  2. Boolean set theory
  3. Fuzzy logic
  4. Real Number
  

Question 11 :
The interconnections of a perceptron are :

  1. Unidirectional
  2. Bidirectional
  3. Scatterred
  4. Linear
  

Question 12 :
Which of the following is not true about Perceptrons ?

  1. It can classify linearly separable patterns
  2. It has only one output unit
  3. It does not have any hidden layer
  4. It can not classify linearly separable patterns
  

Question 13 :
The method of steepest descent, is popularly known as :

  1. Gradient method
  2. Downhill method
  3. Complex method
  4. Stochastic method
  

Question 14 :
Which Statements is true regarding Biological neuron?

  1. A Biological neuron has only one input and only one output.
  2. A Biological neuron can have only one input but multiple output.
  3. A Biological neuron can have multiple input and multiple output.
  4. A Biological neuron can have multiple input but only single output.
  

Question 15 :
Which of the following phenomena is not modeled by fuzzy set theory?

  1. Randomness
  2. Vagueness
  3. Uncertainty
  4. Certainty
  

Question 16 :
In the neuron, attached to the soma are long irregularly shaped filaments called:

  1. Dendrites
  2. Axon
  3. Synapse
  4. Cerebellum
  

Question 17 :
An input to a fuzzy inference system is a :

  1. A crisp value
  2. A constant value
  3. A fuzzy set
  4. a linguistic variable
  

Question 18 :
For Perceptron learning, the bias and the threshold are:

  1. Interchangable
  2. Non Interchangable
  3. Conditionally Interchangable
  4. always equal
  

Question 19 :
Which of the following search techniques has the capacity to overcome the problem of local optima ?

  1. Genetic algorithms
  2. Neural Network
  3. Depth First Search
  4. Fuzzy Logic
  

Question 20 :
Which of the following can be used for clustering of data ?

  1. Single layer perception
  2. Multilayer perception
  3. Self organizing map
  4. Gradient Descent Method.
  

Question 21 :
What are the 2 types of learning?

  1. Improvised and un-improvised
  2. Supervised and unsupervised
  3. Layered and un-layered
  4. Deterministic and non deterministic
  

Question 22 :
The square root of fuzzy set is called _____.

  1. Dilemma
  2. Dual
  3. Concentration
  4. Root mean square
  

Question 23 :
What do you mean by the statement :The genes from the already discovered good individuals are exploited.

  1. Convergence
  2. Population diversity
  3. Scarcity
  4. Population fitness
  

Question 24 :
Choose the correct optimization technique.

  1. Evolutionary computing
  2. Mathematical Modelling
  3. Cylindrical geometry
  4. Adaptive calculus
  

Question 25 :
What was the name of the first model which simulated the working of human brain?

  1. McCulloch-pitts neuron model
  2. Marvin Minsky neuron model
  3. Hopfield model of neuron
  4. Rosenblatt
  
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