Innovation of evaluation model of journal papers based on the regression of journal paper standard and scholar standard: An application of fuzzy comprehensive evaluation method in SCI/CSSCI journal paper evaluation
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U472.32

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    Abstract:

    Since the implementation of the reform and open policy, SCI has entered China as a quantitative evaluation method for natural science journals, and then CSSCI has emerged in the field of social sciences in China. With the improvement of the level of scientific research in China, the shortage of simple quantitative evaluation method is becoming more and more obvious, and the SCI/CSSCI developers have being entangled in the selection of data development or journal evaluation. Therefore, using more scientific and reasonable methods, i.e., combining quantitative analysis with qualitative assessment, is an effective way to make up for the deficiency of SCI and CSSCI as evaluation tools. The fuzzy comprehensive evaluation model, which is established by means of four indexes involving the amount of paper downloading, SCI zoning, impact factors, academic influence, leads to the quantifiable evaluation of SCI journal papers. In the evaluation of journal papers in the field of social sciences, in recent years, there has been the exploration in "evaluating an author by papers" and then in "evaluating a journal by papers". Based on the normalization and consistency test, the scientific evaluation of CSSCI journal papers can be realized, which can avoid "evaluating a paper by journal" and make the evaluation of a journal paper more scientific, reasonable and executable, and then returning to paper standard and scholar standard in academic research.

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邱香华,韩云波.回归论文本位和学者本位的期刊论文评价模型创新——模糊综合评判法在SCI和CSSCI期刊论文评价中的应用[J].重庆大学学报社会科学版,2018,24(6):93~103

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History
  • Received:
  • Revised:July 04,2018
  • Adopted:
  • Online: October 25,2018
  • Published: