Research Article
Fault Diagnosis with Evolving Fuzzy Classifier Based on Clustering Algorithm and Drift Detection
Algorithm 2
Evolving fuzzy classifier.
Input: ; | Output: ; | Initialize the classifier; | for do | Read ; | Execute the recursive clustering algorithm; | if new cluster is created then | Create new fuzzy rule; | Define the new class elicited by expert/system operator; | = label of the new class; | end if | if cluster is updated then | Update the corresponding fuzzy rule; | Find the most active rule; | = label of the most active rule; | end if | if clusters are merged then | Merge the corresponding fuzzy rules; | end if | end for |
|