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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...

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Hlavní autoři: Hong-Yun Huang, Yan-Qing Lin, Qun Su, Xiao-Ting Gong, Ying-Ming Wang, Yang-Geng Fu
Médium: Artigo
Jazyk:Inglês
Vydáno: Springer 2019-11-01
Edice:International Journal of Computational Intelligence Systems
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On-line přístup:https://www.atlantis-press.com/article/125922609/view
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