基于灰色模糊理论的核心专利识别方法研究

Research on the identification method of core patents based

摘要:

针对现有核心专利识别方法在指标选定及权重判定方面的不足，利用布拉德福定律及灰色模糊理论，提出一种有效的核心专利识别方法。首先，通过技术应用区域、主要IPC、主要研究机构及3D专利地图等四个维度的分析，了解相应技术的发展状态；其次，运用布拉德福定律确定核心专利的数量，并从技术、法律、市场的角度，构建指标体系，运用灰色模糊评价法对专利进行评分、排序，确定初始核心专利集；最后，构建标准集序列，采用灰色关联分析法对初始核心专利集进一步筛选，确定核心专利集。通过对管道检测机器人的核心专利识别，验证其可行性。

Abstract:

Aiming at the shortcomings of the existing core patent identification methods in index selection and weight determination, this paper puts forward an effective core patent identification method, which based on Bradford law and the grey fuzzy theory. Firstly, in order to understand the development status of corresponding technologies, we can realize it through the analysis of technology application area, main IPC analysis, main research institutions and 3D patent analysis. Secondly, Bradford law is used to determine the number of core patents, and from the perspectives of technology, law, market, construct an indicator system. Use grey fuzzy theory to score and rank in order to determine the initial core patent set. Finally, the standard patent set sequence is constructed, and the grey correlation analysis is used to screen in initial core patent set to determine the core patent set. Through the identification of the core patent about the pipeline inspection robot, it feasibility was verified.