中国高等农业院校科研绩效评价研究——基于正态云模型的实证
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摘要
科学、合理的农业院校科研绩效评价有利于提升高校科技创新能力,推动现代农业科技创新,实现农业现代化和乡村振兴。为弥补传统评价方法无法兼顾评价指标和评价结果存在的模糊性和不确定性的缺陷,将人工智能的正态云模型引入高校科研绩效评价中。基于Matlab7.1软件平台,以国内23家高等农业院校为例,运用正态云模型进行科研绩效综合评价和分项评价。研究结果表明:科研投入和科研产出仍然是当前农业院校科研绩效的主要因素,而社会影响的绩效提升潜力有待挖掘。计算结果客观、真实反映高等农业院校科研绩效水平及制约因素,所构建的评价指标体系和正态云评价模型具有一定的实用性、可行性。正态云模型对高校科研绩效评价具有较强的适用性,为高校科研绩效管理提供一定的借鉴和参考。
The scientific and reasonable evaluation of scientific research performance in agricultural colleges and universities is conducive to upgrading university science and technology innovation capabilities, promoting modern agricultural science and technology innovation, and realizing agricultural modernization and rural rejuvenation. In order to make up for the traditional evaluation methods can not take into account the vagueness and uncertainty of evaluation indicators and evaluation results, the normal cloud model of artificial intelligence was introduced into the evaluation of scientific research performance in universities. Based on the Matlab7.1 software platform and taking 23 domestic agricultural colleges and universities as examples, this paper uses the normal cloud model to evaluate the performance of the research and the sub-item evaluation. The results show that scientific research input and scientific research output are still the main factors in the current research performance of agricultural colleges, and the potential for social impact performance improvement remains to be tapped. The results of the calculations objectively and truly reflect the level of scientific research performance and constraints of higher agricultural colleges. The evaluation index system and the normal cloud evaluation model constructed have certain practicality and feasibility. The normal cloud model has strong applicability to the evaluation of scientific research performance in colleges and universities, and provides reference and reference for the scientific research performance management in colleges and universities.
The scientific and reasonable evaluation of scientific research performance in agricultural colleges and universities is conducive to upgrading university science and technology innovation capabilities, promoting modern agricultural science and technology innovation, and realizing agricultural modernization and rural rejuvenation. In order to make up for the traditional evaluation methods can not take into account the vagueness and uncertainty of evaluation indicators and evaluation results, the normal cloud model of artificial intelligence was introduced into the evaluation of scientific research performance in universities. Based on the Matlab7.1 software platform and taking 23 domestic agricultural colleges and universities as examples, this paper uses the normal cloud model to evaluate the performance of the research and the sub-item evaluation. The results show that scientific research input and scientific research output are still the main factors in the current research performance of agricultural colleges, and the potential for social impact performance improvement remains to be tapped. The results of the calculations objectively and truly reflect the level of scientific research performance and constraints of higher agricultural colleges. The evaluation index system and the normal cloud evaluation model constructed have certain practicality and feasibility. The normal cloud model has strong applicability to the evaluation of scientific research performance in colleges and universities, and provides reference and reference for the scientific research performance management in colleges and universities.
引文
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[2] 陈俊.加强高等农业院校农业科技推广工作的对策研究——以西北农林科技大学为例[J].中国农机化学报,2014,35(5):331-336.Chen Jun.Countermeasures of strengthening agricultural science and technology promotion in agricultural universities [J].Journal of Chinese Agricultural Mechanization,2014,35(5):331-336.
[3] 郭翔宇,陈林,翟洪江.黑龙江省高校科研绩效评价研究[J].黑龙江高教研究,2017(7):50-53.Guo Xiangyu,Chen Lin,Zhai Hongjiang.Study on performance evaluation of scientific research in Heilongjiang universities [J].Heilongjiang Researches on Higher Education,2017(7):50-53.
[4] Moreno A A,Tadepalli R.Assessing academic department efficiency at a public university [J].Managerial and decision economics,2002,23(7):385-397.
[5] 朱娅妮,余玉龙,汪海燕.面向协同创新的高校科研绩效评价体系研究[J].科研管理,2016,37(S1):180-187.Zhu Yani,Yu Yulong,Wang Haiyan.A research on the evaluation system of university scientific research performance based on collaborative innovation [J].Science Research Management,2016,37(S1):180-187.
[6] 张耀天,贾明顺,张旭成.基于自适应层次分析法的高校科研绩效评价[J].科技管理研究,2016,36(11):106-110.Zhang Yaotian,Jia Mingshun,Zhang Xucheng.The evaluation of university research performance based on adaptive analytic hierarchy process [J].Science and Technology Management Research,2016,36(11):106-110.
[7] 沈立宏,赵怡.基于数据包络分析的地方高校科研绩效评价[J].高等工程教育研究,2016(3):147-151.Shen Lihong,Zhao Yi.An evaluation on the performance of scientific researches in local colleges and universities based on data envelopment analysis [J].Research in Higher Education of Engineering,2016(3):147-151.
[8] 张丽琨.基于熵权TOPSIS模型的高校科研绩效评价[J].教育财会研究,2013,24(6):22-25.
[9] 段永瑞,霍佳震.基于数据包络分析的高校科研绩效评价[J].上海交通大学学报,2007,41(7):1074-1077.Duan Yongrui,Huo Jiazhen.An evaluation on the performance of scientific research in universities based on data envelopment analysis [J].Journal of Shanghai Jiaotong University,2007,41(7):1074-1077.
[10] 陈磊,王应明.兼顾偏好的高校科研绩效评价[J].科技管理研究,2015,334(12):62-65.Chen Lei,Wang Yingming.The evaluation of consideration to preference on scientific research efficiency at universities [J].Science and Technology Management Research,2015,334(12):62-65.
[11] 官海滨,武德昆.中外高校科研绩效评价理论比较[J].中国高校科技,2013(1):112-114.
[12] 朱建育,赵红军,方曦.基于面板数据模型的上海高校科研绩效评价的实证研究[J].研究与发展管理,2013,25(2):115-119.Zhu Jianyu,Zhao Hongjun,Fang Xi.Empirical study on the evaluation of scientific research performance of universities in Shanghai based on panel data model [J].R & D Management,2013,25(2):115-119.
[13] 苏俊宏,彭渝丽,李高宏,等.西部地区地方高校科研绩效评价体系研究与实践探索[J].科学学与科学技术管理,2009,30(6):197-199.
[14] 杨洁,王国胤,刘群,等.正态云模型研究回顾与展望[J].计算机学报,2018,41(3):724-744.Yang Jie,Wang Guoyin,Liu Qun,et al.Retrospect and prospect of research of normal cloud model [J].Chinese journal of Computers,2018,41(3):724-744.
[15] 张晓泉,赵闰,沈孚,等.科研人才激励与评价机制研究——以农业科研院所为例[J].中国农机化学报,2018,39(12):114-118.Zhang Xiaoquan,Zhao Run,Shen Fu,et al.Research on the incentive and evaluation mechanism of Scientific researcher:taking agricultural scientific research institute as an example [J].Journal of Chinese Agricultural Mechanization,2018,39(12):114-118.
[16] 邵海龙,潘世强,杜东菊,等.农业院校工科专业校企融合实践教学平台建设研究[J].中国农机化学报,2017,38(9):127-131.Shao Hailong,Pan Shiqiang,Du Dongju,et al.Practical teaching platform construction of university-enterprise cooperation for engineering majors in agricultural universities [J].Journal of Chinese Agricultural Mechanization,2017,38(9):127-131.
[17] 肖体琼,曹曙明,何春霞,等.中央科研机构科技创新机制对农机科研院所的启示[J].中国农机化学报,2014,35(2):1-3,8.Xiao Tiqiong,Cao Shuming,He Chunxia,,et al.Enlightenment of sci-technology innovation mechanism of central scientific institution on agricultural machinery scientific research institution [J].Journal of Chinese Agricultural Mechanization,2014,35(2):1-3,8.
[18] 李德毅,刘常昱.论正态云模型的普适性[J].中国工程科学,2004,6(8):28-34.Li Deyi,Liu Changyu.Study on the universality of the normal cloud model [J].Engineering Science,2004,6(8):28-34.
[19] 薛黎明,崔超群,李长明,等.基于正态云模型的区域矿产资源可持续力评价[J].中国人口·资源与境,2017,27(6):67-74.Xue Liming,Cui Chaoqun,Li Changming,et al.Normal Cloud model-based approach for regional sustainable power assessment of mineral resources [J].China Population,Resources and Environment,2017,27(6):67-74.