Abstract: To solve the problem of combinatorial explosion in belief rule base (BRB) caused by too many antecedent attributes,many rule reduction methods that adopt dimensionality reduction techniques are proposed. However,these methods cannot simultaneously achieve the desired results,namely algorithm implementation,reasonability of filtering attributes,the number of reduced rule and the accuracy of reasoning. Hence,a new rule reduction method that uses correlation coefficient and standard deviation integrated method is proposed. The kernel method is based on the coefficient weight for reducing BRB. An armored system of systems also introduced to analyze the applicability of the rule reduction method using the correlation coefficient and standard deviation integrated method. The experimental results show that the BRB,which is reduced by the proposed method,has lower utility deviation and higher similarity.