工业工程 ›› 2020, Vol. 23 ›› Issue (6): 124-130,154.doi: 10.3969/j.issn.1007-7375.2020.06.017

• 实践与应用 • 上一篇    下一篇

专家评审特征分析及专家反评估方法研究

张尧1, 林春2   

  1. 1. 东北林业大学 经济管理学院,黑龙江 哈尔滨 150040;
    2. 黑龙江东方学院计算机科学与电气工程学部,黑龙江 哈尔滨 150066
  • 收稿日期:2019-09-27 发布日期:2020-12-18
  • 通讯作者: 林春(1977-),女,黑龙江省人,高级实验师,硕士,主要研究方向为高校实验室信息化.E-mail:87318435@qq.com E-mail:87318435@qq.com
  • 作者简介:张尧(1981-),男,黑龙江省人,讲师,博士,主要研究方向为农业信息化、国际农业合作
  • 基金资助:
    黑龙江省哲学社会科学研究规划资助项目(18GLE456);黑龙江省教育科学“十三五”规划2019度重点资助课题(GJB1319117);黑龙江省政府博士后资助项目(LBH-Z14021);中央高校基本科研业务费专项资金资助项目(41413110)

The Review Characteristics of Expert and Anti-assessment Research

ZHANG Yao1, LIN Chun2   

  1. 1. College of Economics and Management, Northeast Forestry University, Harbin 150040, China;
    2. Department of Computer Science and Electrical Engineering, East University of Heilongjiang, Harbin 150066, China
  • Received:2019-09-27 Published:2020-12-18

摘要: 高质量专家库是公平、公正评审的保障,而对评审专家评审质量的监督和评价是建立高质量专家库的基础。首先针对评价维度提出了相应定量描述方法,利用整体网分析方法估计了专家的学术圈地位以反映专家的学术水平;利用Pearson相似性分析方法测算专家项目评分一致性及项目评价指标评分一致性,反映专家评审的评分可信度;通过对专家评审资助命中率及不资助命中率的综合分析讨论专家评审专业度的分析方法。最后利用TOPSIS评价方法,对评审专家进行评价,验证了本研究的理论及应用价值。

关键词: 专家特征, 评审水平评价, 整体网分析, Person相关, TOPSIS

Abstract: The high quality of expert database guarantees project reviews to be fair and just. Supervision and evaluation of experts review quality will benefit building high quality of expert database. Firstly whole network analysis method is used to estimate experts' power within the academic community to reflect their academic level. Secondly Pearson similarity analysis method is used to measure consistency in projects' score and project evaluation index score of experts reflect their credibility of expert. Thirdly through analyzing hit rate of project's support and no support, review professional level of experts is discussed. Finally TOPSIS evaluation method is used to evaluate review expert and verify the theoretical and application value of the research.

Key words: characteristics of expert, review level evaluations, whole network analysis, Pearson correlation, TOPSIS

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