基于集对云模型的矿业高校研究生科研能力评价
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摘要
研究生科研能力评价对于我国科研人才培养具有重要意义。本文结合矿业高校自身特点,从基础能力、实践能力和创新能力三方面选取26个指标构建矿业高校科研能力评价指标体系。为克服目前评价方法单一和准确性不高的问题,运用集对分析的联系数描述系统的不确定性,运用云模型实现指标的模糊分级,将两者结合建立集对云模型,提高了评价结果的准确性。将该模型应用于矿业高校研究生科研能力评价,通过对调查问卷所得数据进行分析,结果表明:211矿业高校研究生的科研能力强于普通矿业高校研究生的科研能力,与实际情况相符,对高校研究生科研能力评价具有一定的借鉴作用。
The evaluation of postgraduatesscientific research ability has a great role on the cultivating of scientific research professionals.According to the characteristics of mining universities,this paper selects 26 indexes to build an evaluation index system of mining university postgraduatesscientific research ability from three aspects:basic ability,practical ability and innovative ability.In order to solve not integrated and low accuracy of evaluation methodology,this paper uses connection number of set-pair analysis to describe the uncertainty of this system,utilizes cloud model to realize the fuzzy classification of index.Besides,this paper combines two methods to build set-pair cloud model,which improves the accuracy of evaluation results.The model is applied to the research evaluation of graduate students in mining colleges.Through the analysis of the data obtained from the questionnaire,the results show that the scientific research ability of postgraduates from 211 mining universities is better than those from general mining universities,which is consistent with practical situation and has reference to the evaluation of postgraduatesscientific research ability.
The evaluation of postgraduatesscientific research ability has a great role on the cultivating of scientific research professionals.According to the characteristics of mining universities,this paper selects 26 indexes to build an evaluation index system of mining university postgraduatesscientific research ability from three aspects:basic ability,practical ability and innovative ability.In order to solve not integrated and low accuracy of evaluation methodology,this paper uses connection number of set-pair analysis to describe the uncertainty of this system,utilizes cloud model to realize the fuzzy classification of index.Besides,this paper combines two methods to build set-pair cloud model,which improves the accuracy of evaluation results.The model is applied to the research evaluation of graduate students in mining colleges.Through the analysis of the data obtained from the questionnaire,the results show that the scientific research ability of postgraduates from 211 mining universities is better than those from general mining universities,which is consistent with practical situation and has reference to the evaluation of postgraduatesscientific research ability.
引文
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[12]黄寰,尹斯斯,雷佑新.我国矿产资源可持续发展水平分析与预测---基于层次分析法的探索[J].西南民族大学学报:人文社会科学版,2015(7):146-150.HUANG Yuan,YIN Sisi,LEI Youxin.Analysis and prediction of the sustainable development level of mineral resources in China:exploration based on analytic hierarchy process[J].Journal of Southwest University for Nationalities:Humanities and Social Science,2015(7):146-150.
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[14]赵克勤.集对分析及其初步应用[M].浙江:浙江科学技术出版社,2000.
[15]韩广华,樊博.李克特式量表语义差异对科学测量的影响[J].科技进步与对策,2017,34(20):1-6.HAN Guanghua,FAN Bo.The effect of semantic difference of likert-type questionaires on scientific measurements[J].Science&Technology Progress and Policy,2017,34(20):1-6.
[16]季俊杰.优秀研究生科研能力的影响因素与启示[J].研究生教育研究,2013(2):13-18.JI Junjie.Factors influencing the research ability of outstanding postgraduates and their inspirations[J].Journal of Graduate Education,2013(2):13-18.
[2]ROSEMARY S Caffarella,BRUCE G Barnett.Teaching doctoral students to become scholarly writers:the importance of giving and receiving critiques[J].Studies in Higher Education,2000,25(1):39-52.
[3]HORN R A.Promoting social justice and caring in schools and communities:the unrealized potential of the cohor model[J].Journal of School Leadership,2000,11:55-59.
[4]MANATHUNGA C,MELLICK P L G.Imagining and interdisciplinary doctoral pedagogy[J].Teaching in Higher Education,2006,11(3):365-379.
[5]孟万金.研究生科研能力结构要素的调查研究及启示[J].高等教育研究,2001(6):58-62.MENG Wanjin.A survey on factors of graduate studentsscientific research competence structure and enlightenment[J].Journal of Higher Education,2001(6):58-62.
[6]刘威,张娟,师瑞峰.高校科研评价体系框架模型研究[J].黑龙江高教研究,2015(1):91-94.LIU Wei,ZHANG Juan,SHI Ruifeng.A study of frame model of scientific research evaluation system in higher education institutions[J].Heilongjiang Researches on Higher Education,2015(1):91-94.
[7]王彩霞.博士研究生科研能力评价指标体系及评价方法研究[D].成都:西南交通大学,2006.
[8]吴爱燕,曾广平,涂序彦.集对云决策方法的研究[J].小型微型计算机系统,2011,32(8):1566-1569.WU Aiyan,ZENG Guangping,TU Xuyan.Study on a set pair cloud decision method[J].Journal of Chinese Computer Systems,2011,32(8):1566-1569.
[9]李丙红.基于AHP与模糊评价法的基层公务员培训效果评估[J].统计与决策,2015,21(16):59-60.LI Binghong.Evaluation of training effect of grassroots civil servants based on AHP and fuzzy evaluation method[J].Statistics&Decision,2015,21(16):59-60.
[10]薛黎明,龚爽,崔超群,等.主客观权重相结合的湖南省矿产资源可持续力综合评价[J].中国矿业,2015,24(9):44-47.XUE Liming,GONG Shuang,CUI Chaoqun,et al.Sustainable power comprehensive evaluation of human mineral resources combining subjective weight with objective weight[J].China Mining Magazine,2015,24(9):44-47.
[11]肖俊杰.大学科研能力评价指标研究[J].高等工程教育研究,2008(5):118-120.XIAO Junjie.On evaluation indicators of universitys scientific research ability in the field of natural science[J].Higher Engineering Education Research,2008(5):118-120.
[12]黄寰,尹斯斯,雷佑新.我国矿产资源可持续发展水平分析与预测---基于层次分析法的探索[J].西南民族大学学报:人文社会科学版,2015(7):146-150.HUANG Yuan,YIN Sisi,LEI Youxin.Analysis and prediction of the sustainable development level of mineral resources in China:exploration based on analytic hierarchy process[J].Journal of Southwest University for Nationalities:Humanities and Social Science,2015(7):146-150.
[13]金菊良,魏一鸣.复杂系统广义智能评价方法与应用[M].北京:科学出版社,2008:18-29.
[14]赵克勤.集对分析及其初步应用[M].浙江:浙江科学技术出版社,2000.
[15]韩广华,樊博.李克特式量表语义差异对科学测量的影响[J].科技进步与对策,2017,34(20):1-6.HAN Guanghua,FAN Bo.The effect of semantic difference of likert-type questionaires on scientific measurements[J].Science&Technology Progress and Policy,2017,34(20):1-6.
[16]季俊杰.优秀研究生科研能力的影响因素与启示[J].研究生教育研究,2013(2):13-18.JI Junjie.Factors influencing the research ability of outstanding postgraduates and their inspirations[J].Journal of Graduate Education,2013(2):13-18.