基于层次分析法的同行评议专家反评估模型研究

发布时间：2018-06-21 06:57

  本文选题：反评估 + 评审专家　； 参考：《河北工业大学》2015年硕士论文

【摘要】：科技项目在现代社会的发展中占据着举足轻重的地位,同时科技项目活动很复杂,影响因素众多。科技项目承担一定风险,本文需要对同行评议专家进行反评估,从而为科技项目评审活动筛选高水平的专家,保证评审结果公平公正,使科研资金得以高效利用。通过使用同行评议专家反评估模型可以对参与科技项目评审的专家进行反评价,找出存在的问题并改进,从而应用到科技项目评审专家遴选工作中,因此无论是从实践还是理论上都迫切需要建立同行评议专家反评估模型。本文首先综合分析专家反评估的课题来源、研究意义、研究现状,层次分析法的研究现状及目前存在的问题。在研究层次分析法现存问题的基础上,整理层次分析法改进的思路方法。通过上述工作,对层次分析法有了更深层次的理解并开始着手将层次分析法的改进运用到本课题的研究背景中。科技项目评审的同行评议体系最重要因素是指标体系。指标体系是建立层次结构模型的基础,也是所求权重的核心。目前反评估的指标数量非常多,本文结合研究背景对现有指标体系进行了调整,建立了适合本文研究背景的指标体系。下一步工作是确定指标体系的权重:在判断矩阵的建立过程中,同时考虑科技项目评审总负责人、科技项目评审专家以及科技项目管理人员三方面专家的意见,使用matlab实现改进的层次分析法。建立同行评议专家反评估模型,将反评估指标体系与权重指标相结合计算得到评审专家的综合得分。最后进行验证,应用反评估模型对专家进行反评估。第一,根据课题背景整理实验数据;第二,编写功能模块,该模块实现功能:输入实验数据,输出专家的量化评分,并进行排序;第三,根据往年的评审工作总结验证专家量化评分结果的科学合理性。实证分析表明,同行评议专家反评估模型可以有效提高科技项目评审专家遴选质量,从而提高科技项目评审工作质量。
[Abstract]:Science and technology projects play an important role in the development of modern society. Science and technology project bears certain risk, this paper needs to carry on the counter-evaluation to the peer review expert, so as to screen the high level experts for the science and technology project review activity, guarantee the evaluation result fair and just, and make the scientific research fund be used efficiently. Through the use of peer review expert counter-evaluation model, experts involved in the review of science and technology projects can be re-evaluated, problems identified and improved, so as to apply to the selection of experts in science and technology project review. Therefore, both in practice and in theory, it is urgent to establish peer-review expert anti-evaluation model. In this paper, the origin, significance, research status, analytic hierarchy process (AHP) and existing problems of expert backassessment are analyzed. On the basis of studying the existing problems of Analytic hierarchy process (AHP), the improved method of AHP is sorted out. Through the above work, the analytic hierarchy process has a deeper understanding and begins to apply the improvement of the analytic hierarchy process to the research background of this subject. The most important factor of peer review system is the index system. Index system is the foundation of building hierarchy model and the core of weight. At present, there are a lot of indexes in the counter-evaluation. This paper adjusts the existing index system with the background of the research, and establishes the index system suitable for the research background of this paper. The next step is to determine the weight of the indicator system: in the process of establishing the judgment matrix, the opinions of the chief executive of the science and technology project review, the science and technology project review expert, and the science and technology project manager are taken into account. Using matlab to implement the improved AHP. The evaluation experts' comprehensive score is obtained by combining the evaluation index system with the weight index. At last, the back-evaluation model is used to evaluate the experts. First, collate the experimental data according to the background of the subject; second, write the function module, this module realizes the function: input the experimental data, output the expert's quantitative score, and carry on the sort; third, According to the review work in previous years, the scientific rationality of the expert quantitative evaluation results is verified. The empirical analysis shows that the peer-reviewed expert counter-evaluation model can effectively improve the selection quality of science and technology project review experts and thus improve the quality of science and technology project review.
【学位授予单位】：河北工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP182
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本文编号：2047670