Evaluation of Economics Journals Based on Reduction Algorithm of Rough Set and Grey Correlation

  •  Mei-Jia Huang    
  •  Yuan-Biao Zhang    
  •  Jie-Huan Luo    
  •  He Nie    


In order to evaluate economics journals objectively and avoid the problem arising from artificial subjective factors, this paper put forward an evaluation of economics journals model based on reduction algorithm of rough set and grey correlation. Firstly, it used reduction algorithm of rough set based on equivalence relation to determine the key indicators. Secondly, it determined the key indicators weights by using grey correlation degree method, then used dominance relation of rough set method to determine another group of weights of key indicators. Lastly, it combined TOPSIS with two groups of weights above to evaluate and rank economics journals and compared the results, proved the evaluation model of economics journals based on reduction algorithm of rough set and grey correlation could be applied in evaluation of economics journals with high practicality and reasonability.

This work is licensed under a Creative Commons Attribution 4.0 License.
  • ISSN(Print): 1925-4725
  • ISSN(Online): 1925-4733
  • Started: 2011
  • Frequency: semiannual

Journal Metrics

Google-based Impact Factor (2021): 1.54

h-index (July 2022): 37

i10-index (July 2022): 147

h5-index (2017-2021): 12

h5-median (2017-2021): 19

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