Q35.Marks: +2.0UGC NET Paper 2: Computer Science17th June 2023
Match List I with List II
LIST I
LIST II
A.
Expert system
I.
Decision tree
B.
Fuzzy system
II.
Scramble
C.
Operator in genetic algorithm
III.
Inference engine
D.
Supervised technique
IV.
Mycin
Choose the correct answer from the options given below:
1.A - IV, B - I, C - III, D - II
2.A - III, B - IV, C - II, D - I
3.A - IV, B - III, C - II, D - I✓ Correct
4.A - I, B - II, C - III, D - IV
Solution
The correct answer is A - IV, B - III, C - II, D - I
Key Points
A. Expert system - IV. Mycin:
An expert system is a computer program that emulates the decision-making ability of a human expert. It uses a knowledge base of human expertise and an inference engine to draw conclusions.
Mycin is a classic example of an expert system designed for medical diagnosis. It used a rule-based system to analyze patient symptoms and recommend treatments.
B. Fuzzy system - III. Inference engine:
Fuzzy systems deal with uncertainty and imprecision in data by using fuzzy logic, which allows for degrees of truth rather than strict true or false values.
The inference engine is a component of an expert system that processes the rules and facts to draw conclusions. In the context of fuzzy systems, it handles the fuzzy logic rules.
C. Operator in genetic algorithm - II. Scramble:
Genetic algorithms are optimization algorithms inspired by the process of natural selection. They use operators like mutation and crossover to evolve a population of solutions over generations.
Scramble is a type of crossover operator in genetic algorithms. It involves randomly reordering segments of genetic information within individuals to create new offspring.
D. Supervised technique - I. Decision tree:
Supervised learning involves training a model on a labeled dataset, where the algorithm learns from input-output pairs to make predictions on new, unseen data.
Decision trees are a type of supervised learning technique used for both classification and regression tasks. They make decisions by recursively partitioning the data based on features.