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基于改进最小距离-最大熵组合赋权法的应急科研成果转化能力动态评价——以新冠疫情数据为例

Dynamic Evaluation of Transformation Ability for Emergency Scientific Research Achievements Based on an Improved Minimum Distance-Maximum Entropy Combination Weighting Method: A Case Study of COVID-19 Epidemic Data.

机构信息

College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 211106, China.

出版信息

Comput Intell Neurosci. 2022 Aug 12;2022:8005249. doi: 10.1155/2022/8005249. eCollection 2022.

Abstract

In the process of responding to major public health emergencies, the transformation of emergency scientific research results often faces many unfavourable factors such as limited resources, tight time, changes in needs, and lack of results. It is necessary to evaluate and analyze the ability to transform emergency scientific research results under public health emergencies, so as to rationally allocate emergency scientific research resources between subjects and regions, improve the efficiency of emergency results transformation, enhance emergency scientific research capabilities, and efficiently support incident prevention, control, and treatment. Starting from the patent level, this paper constructs an indicator system to evaluate the transformation ability of emergency scientific research results under major public health emergencies. It improves the minimum distance-maximum entropy combination weighting method to realize the static evaluation of transformation ability for emergency scientific research results from the perspective of patents, then constructs the dynamic evaluation model of transformation ability for emergency scientific research results in public health emergencies from the perspective of patents, and carries out the dynamic evaluation of the emergency scientific research achievements transformation ability of different subjects and different regions. We also improve the ER index, measure the static polarization effect of the transformation ability for regional emergency scientific research results, and consider the time factor to construct a dynamic polarization effect measurement model for the transformation ability of emergency scientific research achievement. Furthermore, this paper improves the measurement model of contribution degree to the polarization effect, and analyzes the contribution degree to polarization of the transformation ability for regional emergency scientific research results.

摘要

在应对重大突发公共卫生事件的过程中,应急科研成果转化往往面临资源有限、时间紧迫、需求变化、成果缺乏等诸多不利因素。有必要评估和分析突发公共卫生事件下应急科研成果转化能力,以便在主体和地区之间合理配置应急科研资源,提高应急成果转化效率,增强应急科研能力,有效支持事件的预防、控制和治疗。本文从专利层面出发,构建了一个评价重大突发公共卫生事件下应急科研成果转化能力的指标体系。采用最小距离-最大熵组合赋权法,从专利角度对应急科研成果转化能力进行静态评价,然后从专利角度构建突发公共卫生事件应急科研成果转化能力的动态评价模型,对不同主体和不同地区的应急科研成果转化能力进行动态评价。改进 ER 指数,衡量区域应急科研成果转化能力的静态极化效应,考虑时间因素,构建应急科研成果转化能力的动态极化效应测量模型。进一步改进极化效应贡献度的测量模型,分析区域应急科研成果转化能力的极化贡献度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1874/9391140/660f3c9a5cd6/CIN2022-8005249.001.jpg

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