Evaluation method of enterprise economic growth quality based on data analysis

Abstract

In order to overcome the problems of low precision and precision in traditional evaluation methods of enterprise economic growth quality, this paper proposes a new evaluation method of enterprise economic growth quality based on data analysis. This paper calculates the similarity of the economic growth data which can be disclosed by enterprises, including concept similarity, instance similarity and attribute similarity, and uses the association rule method to weight the three kinds of similarity, and obtains the weighted calculation results of the comprehensive similarity of enterprise economic data. According to the results of comprehensive similarity calculation, AHP is used to build the enterprise level economic growth quality evaluation system, and information entropy is used to calculate the weight entropy of different evaluation indexes, so as to clarify the importance of different evaluation indexes. According to the results of weight calculation, the evaluation model of enterprise economic growth quality is constructed, and the output of the model is the evaluation result. The experimental results show that the precision and recall of this method are high, and the highest evaluation accuracy of this method can reach 99.8%.