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.
Highlights
The journal industry has made great progress in our country
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
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
Summary
The journal industry has made great progress in our country. The quality of journals becomes more important as they are increasing in the number. Zhang Hong et al (2008) use the principal component analysis method to evaluate scientific journals. Xiao et al (2001) use rough set theory to analyse the evaluation result of research project supported by science foundation. Rough set theory has been developed rapidly It has a high application value in multiple attribute decision making and can be used in the academic evaluation system. On the basis of the researches of others, this paper puts forward an evaluation of economics journals model based on reduction algorithm of Rough Set and Grey Correlation. We combines TOPSIS with two groups of weights determined above to evaluate and rank economics journals and compare the results (Qian et al, 2008), proves the evaluation model of economics journals based on reduction algorithm of rough set and grey correlation is more reasonable
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