| 高校可转移专利识别研究--基于贝叶斯理论和组合赋权法 |
| |
| 引用本文： | 韩盟,吴红,李昌,崔哲,李剑飞.高校可转移专利识别研究--基于贝叶斯理论和组合赋权法[J].图书情报工作,2021(5):118-125. |
| |
| 作者姓名： | 韩盟 吴红 李昌 崔哲 李剑飞 |
| |
| 作者单位： | 山东理工大学信息管理研究院;大连理工大学科学学与科技管理研究所 |
| |
| 基金项目： | 国家社会科学基金项目“高校图书馆深度嵌入专利运营研究”(项目编号:16BT0029)研究成果之一。 |
| |
| 摘 要： | 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。
|
| 关 键 词： | 专利转移 识别方法 贝叶斯理论 组合赋权 |
Identification of University Transferable Patent;Based on Bayesian Theory and Combination Weighting Method |
| |
| Han Meng,Wu Hong,Li Chang,Cui Zhe,Li Jianfei.Identification of University Transferable Patent;Based on Bayesian Theory and Combination Weighting Method[J].Library and Information Service,2021(5):118-125. |
| |
| Authors: | Han Meng Wu Hong Li Chang Cui Zhe Li Jianfei |
| |
| Institution: | (Institute of Information Management,Shandong University of Technology,Zibo 2550492;Institute of Science and Technology Management,Dalian University of Technology,Dalian 116024) |
| |
| Abstract: | 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 scientifie 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 pa-tents preliminarily.Then,we used the multiple correlation coeffcient and cofficient of variation combination weigh-ting 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 proba-bility 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 identifi-cation process not only ensures the accuracy of the results,but also takes into account the limitation of university pa-tent management resources,which builds a good foundation for improving the quaity of patent push. |
| |
| Keywords: | patent transfer recognition methods Bayesian theory combination weighting |
| 本文献已被 维普 等数据库收录！ |
|
