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
Abstract
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.
- Full Text: PDF
- DOI:10.5539/jms.v5n1p140
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
Index
- Academic Journals Database
- ANVUR (Italian National Agency for the Evaluation of Universities and Research Institutes)
- CAB Abstracts
- CNKI Scholar
- EconBiz
- Excellence in Research for Australia (ERA)
- GETIT@YALE (Yale University Library)
- Harvard Library
- HeinOnline
- Infotrieve
- JournalTOCs
- LOCKSS
- MIAR
- PKP Open Archives Harvester
- RePEc
- Scilit
- SHERPA/RoMEO
- Stanford Libraries
- UCR Library
Contact
- Evelyn XiaoEditorial Assistant
- jms@ccsenet.org