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中文摘要：
运用偏好信息熵与物元可拓理论相融合的偏好熵权物元可拓方法，构建基于偏好熵权物元可拓的商业银行信用风险预警模型。研究表明，基于偏好熵权物元可拓的信用风险预警模型的优势在于，通过偏好信息熵与物元可拓理论相融合的偏好熵权物元可拓方法，使得信用突变下信用风险的预警结果具有较好的平滑性与客观性。此外，运用模型的综合关联度预警功能，可以提高信用风险预警结果的精确度，能够很好地解决信用突变下商业银行信用风险的预警问题。
英文摘要：
This paper constructs commercial bank credit risk early-warning model based on preference entropy-weight and matter-element extension by apply- ing preference entropy-weight and matter-element extension technique, and gives a relative example analysis. It believes that the superiority of model is to fufil double smothing function to credit risk under credit mutation status by merging preference information entropy into matter-element extension. In addition, complex relativity early-warning function of the model enhances accuracy of commercial bank credit risk early-warning, which solves the problem of commercial bank credit risk early- warning under credit steadiness status.
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