关键词: 多分类器融合, 遗传算法, 加权系数矩阵

Abstract: In order to improve the performance of single classifier，multi-classifier fusion methods have been widely used.This paper gives a new multi-classifiers fusion algorithm based on GA.To begin with，the genetic algorithm is used to partition the feature set into subsets of features for generating member classifiers，and then a new multi-classifier combining method based on weighted coefficient matrix is proposed according to the concept of class distinguishing ability presented by us.Experiments with UCI datasets show that the performance of the proposed algorithm is improved with high correct recognition rate.

Key words: multi-classifiers fusion, genetic algorithm, weighted coefficient matrix