|本期目录/Table of Contents|

[1]晁晓筠,刘海涛,夏宗洋,等.研究生创新能力的熵权系数模糊综合评价模型[J].集美大学学报(教育科学版),2018,19(03):56-62.
 CHAO Xiao-yun,LIU Hai-tao,XIA Zong-yang,et al.A Fuzzy Comprehensive Evaluation Model for Graduate Innovation Ability by Entropy Weight Coefficient Method[J].Journal of Jimei University(Education Science Edition),2018,19(03):56-62.
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研究生创新能力的熵权系数模糊综合评价模型(PDF)
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《集美大学学报(教育科学版)》[ISSN:1671-6493/CN:35-1238/U]

卷:
第19卷
期数:
2018年03期
页码:
56-62
栏目:
教学史研究
出版日期:
2018-05-28

文章信息/Info

Title:
A Fuzzy Comprehensive Evaluation Model for Graduate Innovation Ability by Entropy Weight Coefficient Method
作者:
晁晓筠1刘海涛2夏宗洋3李德根1
(1.黑龙江科技大学学术理论研究部,黑龙江 哈尔滨150022;2.黑龙江科技大学研究生学院,黑龙江 哈尔滨150022;3.黑龙江科技大学管理学院,黑龙江 哈尔滨150022)
Author(s):
CHAO Xiao-yun1 LIU Hai-tao2 XIA Zong-yang3LI De-gen1
(1. Department of Academic Research, Heilongjiang University of Science and Technology, Harbin 150022, China;2. School of Graduate , Heilongjiang University of Science and Technology, Harbin 150022, China; 3. School of Management, Heilongjiang University of Science and Technology, Harbin 150022, China)
关键词:
研究生培养创新能力模糊综合评价熵权系数法
Keywords:
postgraduate training innovation ability fuzzy comprehensive evaluation entropy weight coefficient method
分类号:
-
DOI:
-
文献标志码:
A
摘要:
为了探究高校研究生创新能力的评价方法,设计了研究生创新能力调查问卷,从创新意识、创新基础、创新思维、创新方法和创新实践五个维度构建研究生创新能力评价指标体系,以熵权系数法确定各指标的权重,建立了研究生的创新能力熵权系数模糊综合评价模型。该模型可以减少研究生创新能力评价指标量化过程的不确定性,降低了指标偏差。通过实例验证了该评价模型的科学性与可行性,为高校评价研究生创新能力、提高培养质量提供参考。
Abstract:
This paper highlights a novel fuzzy comprehensive evaluation model designed to delve into the innovation ability of graduate students in colleges and universities. The targeted research involves designing questionnaires for the innovation ability of graduate students; developing the evaluation index system for graduate students’ innovation ability using five dimensions consisting of the innovation consciousness, innovation foundation, innovative thinking, innovative ways and practice; and determining the weight of each index by entropy weight coefficient method and thereby constructing the fuzzy comprehensive evaluation model based on entropy weight coefficient. This model could bring about a reduction both in the uncertainty affecting quantitative process of evaluation index for graduate students’ innovative ability and in the index deviation which could otherwise occur. It follows that the model, which proves scientific and feasible, may provide a reference for evaluating the innovation ability of graduate students in colleges and universities and improving the way graduate students are trained.

参考文献/References:

相似文献/References:

[1]余顺年,王大镇,许志龙,等.“产学研赛”机制专业人才培养模式构建与实践[J].集美大学学报(教育科学版),2017,18(02):85.
 YU Shun-nian,WANG Da-zheng,XU Zhi-long,et al.Training Mode Construction and Practice of “Production, Studying, Research, and Competition” in the Major of Machine Design Manufacture and Automation[J].Journal of Jimei University(Education Science Edition),2017,18(03):85.
[2]徐晓津,翁潞梅,郑婉眉,等.研究生创新能力培养模式研究[J].集美大学学报(教育科学版),2017,18(04):67.
 XU Xiao-jin,WENG Lu-mei,ZHENG Wan-mei,et al.A Study of Graduate Innovation Capability Training Model[J].Journal of Jimei University(Education Science Edition),2017,18(03):67.

备注/Memo

备注/Memo:
更新日期/Last Update: 2018-07-26