An Ensemble Approach for Extended Belief Rule-Based Systems with Parameter Optimization
The reasoning ability of the belief rule-based system is easy to be weakened by the quality of training instances, the inconsistency of rules and the values of parameters. This paper proposes an ensemble approach for extended belief rule-based systems to address this issue. The approach is based on...
Main Authors: | Hong-Yun Huang, Yan-Qing Lin, Qun Su, Xiao-Ting Gong, Ying-Ming Wang, Yang-Geng Fu |
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Format: | Article |
Language: | English |
Published: |
Atlantis Press
2019-11-01
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Series: | International Journal of Computational Intelligence Systems |
Subjects: | |
Online Access: | https://www.atlantis-press.com/article/125922609/view |
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