[目的/意义] 研究高校可转移专利的识别，对于提高专利推送质量，促进高校科研与社会经济的对接具有积极意义。[方法/过程] 首先在文献调研的基础上检验并确定可量化专利识别指标，并结合贝叶斯理论对高校可转移专利进行初步筛选；然后使用复相关系数-变异系数组合赋权法计算各识别指标权重，并计算剩余专利的加权综合转移概率；最后依照综合概率值大小识别可转移专利，并用转移数量较高的医用配置品领域高校专利对本方法进行实证。[结果/结论] 该方法利用贝叶斯理论和组合赋权方法，通过初步筛选和二次识别，实现了对高校可转移专利综合概率的有效计算，即保证了结果的准确性，又兼顾到高校专利管理资源的有限性，为提高专利推送质量奠定了良好的基础。
[Purpose/significance] Research on the identification method of University transferable patents is positive significance to improve the quality of patent push and promote the docking of university scientific research and social economy. [Method/process] Firstly, based on the literature research, we tested and determined the quantifiable identification index of patents, and combined with Bayesian theory to screen university transferable patents preliminarily. Then, we used the multiple correlation coefficient and coefficient of variation combination weighting method to calculate the weight of each identification index, and calculated the weighted comprehensive transfer probability of the remaining patents. Finally, we identified transferable patents according to the comprehensive probability value. In addition, we used university patents in the field of medical configuration products to test the method. [Result/conclusion] We use Bayesian theory and combination weighting method to calculate the comprehensive probability of university transferable patents through preliminary screening and secondary identification, this identification process not only ensures the accuracy of the results, but also takes into account the limitation of university patent management resources, which builds a good foundation for improving the quality of patent push.
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