Innovative Ideas of Enterprise Human Capital Value Evaluation under The Background of Big Data

Abstract

To overcome the problems of low evaluation accuracy and efficiency existing in traditional human capital value evaluation methods, this paper proposes a new innovative research method of enterprise human capital value evaluation under the background of big data. In order to improve the accuracy of human capital data mining, information extraction method is used to extract the features of human capital information. Eliminate the extreme value of human capital data at both ends of the enterprise to complete the mining of human capital data. The human capital value evaluation of enterprises is divided into four grades. According to the grade division results, combined with the human capital value evaluation index, the correlation degree between the human capital data and the evaluation grade is obtained. The human resource data ontology model is constructed, and the human capital data output control vector set is obtained by ontology mapping. Finally, the relative fuzzy approach method is used to complete the evaluation of human capital value. The experimental results show that compared with the traditional evaluation method, the evaluation accuracy and efficiency of the proposed method are greatly improved, and the highest evaluation accuracy reaches 99.7%. Therefore, the practical application performance of the proposed method is strong.