Expert knowledge is the foundation of the interpretability of belief rule base (BRB) expert system. However, the rule explosion problem and weak extendability of BRB limit the utilization of expert knowledge. To solve this problem, a new approximate belief rule with single attributes is proposed, with which a new expert system named as ABRB is constructed. In the new rule, the correlation among attributes is discounted by the independency factor. To illustrate the similar modelling ability of ABRB and BRB, the universal approximation ability of ABRB is proved theoretically. In the proposed ABRB, the key components, such as attributes, referential values, and the frame of discernment, can be extended to guarantee its effectiveness in the long-term practice. A case study of the Lithium-ion power battery is conducted to verify the effectiveness of the proposed model.

专家知识是信念规则库（BRB）专家系统可解释性的基础。然而，BRB的规则爆炸问题和弱可扩展性限制了专家知识的利用。针对这一问题，提出了一种新的单属性近似置信规则，构建了一个新的专家系统ABRB。在新规则中，属性之间的相关性被独立因子打折扣。为了说明ABRB和BRB的相似建模能力，理​​论上证明了ABRB的通用逼近能力。在提议的 ABRB 中，可以扩展关键组件，例如属性、参考值和识别框架，以保证其在长期实践中的有效性。