Module 1

Question 1

What is the difference between hard and soft computing?

Answer 1

Hard Computing - Requires a precisely stated analytical model and often a lot of computation time

Soft Computing - Tolerant of imprecision, uncertainty, partial truth and approximation

Question 2

What are the principal constituents of soft computing?

Answer 2

Fuzzy Logic (FL)
Neural Networks (NN)
Support Vector Machines (SVM)
Evolutionary Computation (EC)
Swarm Intelligence (SI)
Machine Learning (ML)
Probabilistic Reasoning (PR)

Question 3

What is the guiding principle of soft computing?

Answer 3

Exploit the tolerance for imprecision, uncertainty, partial truth, and approximation to achieve tractability, robustness, and low solution cost

Question 4

What is intelligence?

Answer 4

The ability to learn and understand, to solve problems and to make decisions.

Question 5

What is fuzzy logic?

Answer 5

Very important technology dealing with vague, imprecise and uncertain knowledge and data

Question 5

What are linguistic variables?

Answer 5

Words that exemplify probability values