_________ are used when data is fuzzy and uncertainty is involved.
A)Virtual reality simulations
B)Artificial neural networks
C)Genetic algorithms
D)Expert systems

Question

Quizplus · Accepted Answer

Artificial neural networks are best suited for situations when data is uncertain and fuzzy. They are modeled after the human brain and have the ability to learn from past experiences, making them ideal for tasks such as pattern recognition and prediction. Virtual reality simulations and expert systems are better suited for tasks where data is more concrete and deterministic, while genetic algorithms are used for optimization problems.

_________ Are Used When Data Is Fuzzy and Uncertainty Is