专利质量的等级可作为专利权人对专利作出维持、放弃或转化的决策选择的参考，专利质量评估过程结合涉及专家的主观评分和客观模型的定量分析能提高评估结果的科学性和可解释性。为此，基于专利使用者的视角，通过专家咨询法构建包含技术、法律、市场和主体特征等多维度的专利质量评估指标体系，以机器学习技术领域的专利为评估对象，利用层次分析法和熵权法结合的组合赋权方法计算特征指标权重，同时引入物元分析理论，计算待评估专利各个指标对于质量等级的最大隶属度实现对专利质量的评估，并选取与电数据数字处理技术相关的某一件专利进行评估测度。结果表明，该专利在技术维度、法律维度、主体维度的价值为Ⅰ级，市场维度的价值为Ⅲ级，综合质量为Ⅰ级。评估得到的专利质量等级与实际质量结果吻合，证明基于组合赋权与云物元的评估模型在专利质量评估中具有一定的可行性和适用性，后续研究可利用该模型对专利组合进行评估。

The grade of patent quality can be used as a reference for the patentee to make decisions about maintaining, abandoning, or converting a patent. The patent quality evaluation process, combined with subjective scoring by experts and quantitative analysis of objective models, can improve the scientificity and interpretability of the evaluation results. Therefore, based on the perspective of patent users, through expert consultation method to construct a multi-dimensional patent quality evaluation index system that includes technical, legal, market, and subject characteristics. Evaluate patents in the field of machine learning technology, Using a combination weighting method combining analytic hierarchy process and entropy weight method to calculate the weight of feature indicators, while introducing matter element analysis theory, Calculate the maximum membership degree of each index of the patent to be evaluated for the quality level to evaluate the quality of the patent, and select a patent related to electrical data digital processing technology for evaluation and measurement. The results show that the value of the patent in the technical, legal, and subject dimensions is Level I, the value in the market dimension is Level III, and the comprehensive quality is Level I. The patent quality grade obtained from the evaluation is consistent with the actual quality results, which proves that the evaluation model based on combination weighting and cloud matter-element has certain feasibility and applicability in patent quality evaluation. Subsequent research can use this model to evaluate patent portfolios.

G306

无基金