A new interval constructed belief rule base with rule reliability

摘要

The combination rule explosion problem of belief rule base (BRB) is a difficult problem to solve in complex systems and has attracted wide attention. A new interval-constructed belief rule base with rule reliability (IBRB-r) is proposed to solve the problem of combination rule explosion in belief rule base. This model not only proposes a new interval rule construction method, but also designs a new interval rule inference process with rule reliability. This approach can not only clearly indicate the contribution degree of each rule to the model, but also solve the problem of combination rule explosion. This is because combining rules in interval addition form avoids the exponential growth in the number of rules caused by combining rules in Cartesian product form. Therefore, IBRB-r is more suitable for complex system modeling. In the case study section, the structural safety assessment of liquid launch vehicle is introduced to conduct a concrete example analysis. Experimental results show that the proposed model achieves over 95 accuracy under the liquid rocket dataset and has relatively higher accuracy under other datasets as well.