Application of Knowledge Reduction Algorithm Based on Granularity Entropy
In view of the incompleteness problem which existed in knowledge reduction algorithm based on information entropy theory, a knowledge reduction algorithm based on granular entropy and use its application to fault diagnosis of power transformer is proposed. The results show that the algorithm can focus screened the minimum optimal fault Decision Table Reduction set from each reduction to improve the speed and reliability of fault diagnosis.
NETL
NSTL
万方数据
维普
