首页    期刊浏览 2024年12月05日 星期四
登录注册

文章基本信息

  • 标题:Evaluation of Academic Level of Sci-tech Journals Based on Rough Set and TOPSIS
  • 作者:Nie He ; Yuan-Biao Zhang ; Zhen Zhang
  • 期刊名称:International Journal of Statistics and Probability
  • 印刷版ISSN:1927-7032
  • 电子版ISSN:1927-7040
  • 出版年度:2015
  • 卷号:4
  • 期号:1
  • 页码:12
  • DOI:10.5539/ijsp.v4n1p12
  • 出版社:Canadian Center of Science and Education
  • 摘要:

    This paper aims to objectively evaluate the academic level of sci-tech journals, reducing mistakes and random errors caused by human factors in traditional academic evaluation. Evaluation indicators of sci-tech journals are reduced based on equivalence relation thought in Rough set theory, removing the miscellaneous indicators, and form the core evaluation indicator system. By studying the degree of importance of the core evaluation indicators’ attributes to determine the appropriate weight, to avoid interference of human factors in the weight determination, so that the evaluation results of sci-tech journals can be more objective. Combine obtained weight of core evaluation indicators with related data, and using TOPSIS method to make comprehensive evaluation rankings for journals. Finally, using the model to validate data of sci-tech journals, and achieved good results, proved the feasibility and effectiveness of the model.

Loading...
联系我们|关于我们|网站声明
国家哲学社会科学文献中心版权所有