碘克沙醇全球高价值专利数据

数据包中主要包括了全球专利数据库中有关碘克沙醇的发明专利和实用新型专利数据，并根据自有算法对专利数据进行了评价和分类，可用于横向、纵向了解碘克沙醇专利数据变化情况，有助于了解碘克沙醇知识产权工作成果；通过对各企业/个人碘克沙醇专利数据的对比，可了解各企业/个人的技术创新能力、创新水平差异；了解碘克沙醇的技术发展趋势，有助于企业避免重复研发，避免企业开发的技术侵犯他人的知识产权。本数据基于熵权法的 AHP 模型，目标层为专利价值，指标层将专利价值指标体系分为市场、技术、法律、战略、经济五大价值维度，指标层向下分准则层，包括：技术价值：IPC分类数量、被引用专利数量、授权年限；经济价值：剩余年数、综合第三方估值、质押次数；法律价值：权利要求数、文献页数、非专利引用文献数量；战略价值：发明人数量、简单同族成员数量、5年内被引次数；市场价值：技术主题分类数、专利类型、是否战略新兴产业。根据维度和指标建立五个维度的原始矩阵，利用算法随机爬取专利评价准则的对应数据，求得相应权重。由熵权法求得的权重用于各个价值的计算，五个维度单项价值均等，五类价值之和定义为高价值专利综合价值，利用IFS函数对专利进行价值判定，用于区分超高价值专利、高价值专利、一般价值专利和无价值专利，为本领域技术人员提供研发决策依据和技术规避作优先参考。

The data package primarily contains invention and utility model patent data related to iohexol sourced from the global patent database. The patent data is evaluated and classified using a self-developed algorithm, enabling horizontal and longitudinal analysis of the dynamics of iohexol-related patent data, and facilitating the understanding of achievements in iohexol intellectual property work.

By comparing the iohexol patent data of various enterprises and individuals, one can gain insights into the differences in their technological innovation capabilities and innovation levels. Understanding the technological development trends of iohexol can help enterprises avoid redundant R&D and prevent their developed technologies from infringing on others' intellectual property rights.

This dataset is built upon an Analytic Hierarchy Process (AHP) model integrated with the entropy weight method. The target layer is patent value, while the indicator layer divides the patent value evaluation system into five core value dimensions: market, technology, law, strategy, and economy. The indicator layer further branches into a criterion layer, with specific indicators as follows:
- Technological value: number of IPC classifications, number of cited patents, and years of authorization
- Economic value: remaining patent term years, comprehensive third-party valuation, and number of pledge transactions
- Legal value: number of claims, number of document pages, and number of non-patent references
- Strategic value: number of inventors, number of simple patent family members, and number of citations within 5 years
- Market value: number of technical subject classifications, patent type, and whether the patent belongs to strategic emerging industries

A five-dimensional original matrix is established based on the aforementioned dimensions and indicators. Corresponding weights are calculated by randomly crawling the corresponding data of patent evaluation criteria via the algorithm. The weights derived from the entropy weight method are applied to the calculation of each value dimension. The five dimensions carry equal individual weights, and the sum of the five types of values is defined as the comprehensive value of high-value patents. The IFS function is utilized to determine the patent value grade, which is used to classify patents into ultra-high-value patents, high-value patents, general-value patents, and valueless patents. This provides technical personnel in this field with R&D decision-making basis and priority references for technology avoidance.

搜集汇总

数据集介绍

特点

该数据集包含1064条全球碘克沙醇高价值专利数据，通过熵权法的AHP模型评估专利价值，涵盖五大价值维度，每年更新，适用于技术趋势分析和企业创新能力对比。