Research Article
A Method Based on Extended Fuzzy Transforms to Approximate Fuzzy Numbers in Mamdani Fuzzy Rule-Based System
Algorithm 1
Approximation of a set of data by using the extended inverse F-transform.
n≔n0 | Create the fuzzy partition | Calculate the direct F-transform components | WHILE the dataset is sufficiently dense with respect to the fuzzy | partition | Calculate the approximation error | IF (approximation error ≤ threshold) THEN | Store the direct F-transform components | RETURN “SUCCESS” | END IF | n≔n+1 | Calculate the extended direct F-transform components | END WHILE | RETURN “ERROR: Dataset not sufficiently dense” | END |
|