Fuzzy logic systems "learn" patterns from large quantities of data by sifting through data,searching for relationships,building models,and correcting over and over again the model's own mistakes.

Question

Quizplus · Accepted Answer

Fuzzy logic systems do not learn from data in the way described; they use a set of rules and membership functions to handle uncertainty and approximate reasoning, rather than iterative learning processes like those in machine learning.

Fuzzy Logic Systems "Learn" Patterns from Large Quantities of Data