摘要
针对已有评价模型存在的不足,提出一种基于离差最大化-聚合算子-速度激励模型的组合评价方法。该方法在根据离差最大化方法确定指标权重基础上,从指标维上,利用两种聚合算子和客观偏好系数兼顾评价目标的"功能性"状态和"协调性"状态,获得静态综合评价结果;从时间维上,运用速度激励模型综合评价目标的变化速度状态和变化速度趋势两种变化速度特征,获得动态综合评价结果。以中国九大专利密集型产业在2007年-2012年间样本数据对专利能力进行实证研究,结果表明:在静态视角下,中国专利密集型产业的专利投入活动存在着"功能性陷阱",且专利产出方面的"短板"突出;在动态视角下,各产业专利能力变化速度在此期间整体上均呈现发展上升势头,但发展上升程度在不同产业间的差距显著。
Considering the shortcoming of current evaluation model,a combination method based on maximizing deviations-integration operator-acceleration excitation model is applied to threat the problems. Figured out the attribute weights by using the maximizing deviations model,in attribute dimension,combined the functional states and coordination states of objectives on the strength of integration operator and preferred modulus,and obtained the static consequence; in time dimension,integrated variation trend into speed status in line with acceleration excitation model,and obtained the dynamic consequence. Empirically study on patent ability of Chinese patent-intensive industries in the 2007-2012. The result indicates: from the perspective of static,there was a 'functional trap'and 'short board'; from the perspective of dynamic,it was outstanding in the rising situation in all industries,nevertheless,the growth degree was significantly different for industries.
出处
《科学学研究》
CSSCI
北大核心
2015年第6期833-841,共9页
Studies in Science of Science
基金
国家社会科学基金项目(14BGL007)
黑龙江省自然科学基金项目(G201209)
关键词
功能
协调
专利密集型产业
专利能力
组合方法
functional states
coordination states
patent-intensive industries
patent ability
combination method