|
|
|
| Advance Ensemble Learning of Fuzzy Classification Rules Based on AdaBoost |
| Fang Min①②; Wang Bao-shu② |
| ①National Key Laboratory of Integrated Services Networks Xi’an 710071 China;②Institute of Computer Science Xidian University Xi’an 110071 China |
|
|
|
|
Abstract A new learning algorithm of fuzzy classification rules is presented based on ensemble learning algorithm. By tuning the distribution of training instances during each AdaBoost iterative training, the classification rules with fuzzy antecedent and consequent are produced with genetic algorithm. The distribution of training instances participate in computing of the fitness function and the collaboration of rules which are complementary is taken into account during rules producing, so that the classification error rate is reduced and performance of the classification based on the fuzzy rules is improved.
|
|
Received: 21 November 2003
|
|
|
|
|
|
|
|
|
2005, Vol. 27 
