Definitions from the Web
Defuzzification
Description:
Defuzzification is the process of converting fuzzy or ambiguous data into precise or crisp values. It is an important step in fuzzy logic systems where the output needs to be expressed in clear, non-fuzzy terms.
Sample Sentences:
- The defuzzification stage of the fuzzy control system converts the fuzzy output into a specific crisp value.
- To make a decision based on fuzzy data, defuzzification is necessary to transform the fuzzy membership values into concrete values.
- Defuzzification methods like the centroid or the maximum membership principle are commonly used to extract crisp values from fuzzy sets.
- In the field of artificial intelligence, defuzzification techniques are employed to convert uncertain inputs into a definitive output.
Possible Related Products on Amazon:
|