左氧氟沙星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左氧氟沙星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、纵向了解左氧氟沙星专利数据变化情况，有助于了解左氧氟沙星知识产权工作成果；通过对各企业/个人左氧氟沙星专利数据的对比，可了解各企业/个人的技术创新能力、创新水平差异；了解左氧氟沙星的技术发展趋势，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和专利评价准则求得相应权重。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 dataset mainly includes invention and utility model patent data related to levofloxacin from the global patent database, and evaluates and classifies the patent data via a proprietary algorithm. It can be used to horizontally and longitudinally understand the changes in levofloxacin-related patent data, and helps to grasp the achievements of intellectual property work concerning levofloxacin. By comparing the levofloxacin-related patent data of different enterprises or individuals, one can identify the differences in their technological innovation capabilities and innovation levels. Understanding the technological development trends of levofloxacin helps enterprises avoid redundant R&D and prevent the technologies they develop from infringing others' intellectual property rights.

This dataset is based on an AHP model integrated with the entropy weight method. The target layer is patent value, and the indicator layer divides the patent value index system into five value dimensions: market, technology, law, strategy, and economy. The indicator layer is further subdivided into the criterion layer, which includes:
- Technological Value: number of IPC classifications, number of cited patents, and authorized years;
- Economic Value: remaining useful years, comprehensive third-party valuation, and number of pledges;
- 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.

Corresponding weights are calculated by establishing a five-dimensional original matrix and patent evaluation criteria based on the above dimensions and indicators. The weights derived from the entropy weight method are used to calculate the value of each dimension. The five dimensions have equal individual values, and the sum of the five types of values is defined as the comprehensive value of high-value patents. The IFS function is employed to evaluate the value of patents, distinguishing ultra-high-value patents, high-value patents, general-value patents, and valueless patents, providing R&D decision-making basis and priority references for technology avoidance for technical personnel in this field.

搜集汇总

数据集介绍

特点

该数据集包含1366条左氧氟沙星全球高价值专利数据，每年更新一次，通过熵权法的AHP模型评估专利价值，涵盖五大价值维度，适用于技术创新分析、趋势预测及知识产权管理。