氯吡格雷专利价值判定数据

氯吡格雷高价值专利判定数据中主要包括了全球专利数据库中有关氯吡格雷有权的发明专利和实用新型专利数据，根据自有算法对专利数据进行评价打分和分类，判定专利价值。结合数据包中各维度数据的比较，有助于了解氯吡格雷的专利申请情况，避免企业重复研发以及侵犯他人的知识产权；也有助于决策者对将用于出资、转让、许可、融资的专利作出合理判断。本数据基于熵权法和层次分析法，采用定量和定性相结合，从专利价值度出发，目标层为专利价值度，指标层分为法律价值度、技术价值度和经济价值度三项一级指标，一级指标向下分为二级指标，包括法律价值度指标：专利授权周期、专利维持时间、简单同族成员数量、引用专利数量、非专利引用文献数量、诉讼案件数；技术价值度指标：权利要求数、发明人数量、被引用专利数量、IPC分类数量、专利类型、获奖类型；经济价值度指标：剩余年数、当前申请人数量、许可次数、质押次数、战略新兴产业分类；根据一级和二级指标建立三个维度的矩阵和专利评价准则，由熵权法求得的权重用于各个价值的计算，三个维度单项价值均等，三类价值之和即为专利价值度得分，利用IF函数对专利价值进行判定，大于10分为高价值专利，6-10分为重要专利，6分以下为一般专利，为本领域研发人员提供技术参考及指引，为公司提供研发决策指导。

The High-value Patent Determination Dataset for Clopidogrel mainly covers valid invention patents and utility model patents related to clopidogrel from the global patent database. A proprietary algorithm is employed to score, classify and evaluate the patent data for patent value determination. By comparing the multi-dimensional data within the dataset, it helps enterprises avoid redundant R&D activities and intellectual property infringement, and assists decision-makers in making rational judgments on patents intended for capital contribution, transfer, licensing or financing. This dataset is developed based on the entropy weight method and analytic hierarchy process (AHP), combining quantitative and qualitative research methods. From the perspective of patent value, the target layer is patent value, and the indicator layer is divided into three first-level indicators: legal value, technical value and economic value. These first-level indicators are further decomposed into second-level indicators: legal value indicators include patent grant period, patent maintenance duration, number of simple patent family members, number of cited patents (patents referenced in the patent specification), number of non-patent references, and number of litigation cases involving the patent; technical value indicators include number of claims, number of inventors, number of patents citing this patent (forward citation count), number of IPC classifications, patent type, and award type; economic value indicators include remaining valid years, number of current applicants, number of licensing transactions, number of pledge transactions, and strategic emerging industry classification. Based on the first-level and second-level indicators, a three-dimensional matrix and patent evaluation criteria are established. The weights calculated via the entropy weight method are used to compute each dimensional value, with equal weighting assigned to the three dimensions. The sum of the three dimensional values constitutes the final patent value score. The IF function is applied to classify patent value tiers: patents with a score above 10 are categorized as high-value patents, those with scores between 6 and 10 are important patents, and those below 6 are general patents. This dataset provides technical references and guidance for R&D personnel in the clopidogrel-related field, and offers decision-making support for enterprises regarding R&D strategies.

搜集汇总

数据集介绍

特点

该数据集提供了氯吡格雷相关专利的详细信息，包括法律、技术和经济三个维度的价值评分，用于判定专利的价值等级。数据集包含264条记录，适用于企业避免重复研发、评估专利价值及决策支持。