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Mathematical Problems in Engineering
Volume 2013, Article ID 124263, 7 pages
Research Article

Fuzzy ARTMAP Ensemble Based Decision Making and Application

1School of Information Science and Engineering, Hunan University, Changsha, Hunan 410082, China
2Sany Heavy Industry Co., Ltd., Changsha, Hunan 410100, China

Received 26 July 2013; Accepted 23 August 2013

Academic Editor: Xudong Zhao

Copyright © 2013 Min Jin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Because the performance of single FAM is affected by the sequence of sample presentation for the offline mode of training, a fuzzy ARTMAP (FAM) ensemble approach based on the improved Bayesian belief method is supposed to improve the classification accuracy. The training samples are input into a committee of FAMs in different sequence, the output from these FAMs is combined, and the final decision is derived by the improved Bayesian belief method. The experiment results show that the proposed FAMs’ ensemble can classify the different category reliably and has a better classification performance compared with single FAM.