Evaluation of Economics Journals Based on Reduction Algorithm of Rough Set and Grey Correlation
暂无分享,去创建一个
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.
[1] Pranab Kumar Sen,et al. Statistics and Decisions , 2006 .
[2] Yin Dong-yan. Short-term wind speed forecasting using Elman neural network based on rough set theory and principal components analysis , 2014 .
[3] Wang Zheng-xin. Topsis Based on Grey Correlation Method and Its Application , 2009 .
[4] Cheng Hua. A synthetic weighting method based on rough sets , 2003 .