A Fuzzy Comprehensive Dynamic Evaluation Algorithm for Human Resource Quality Growth Based on Artificial Intelligence

Abstract

In the 21st century, the era of knowledge economy is coming. Today, when the management concept of “people-oriented” is advocated, the value of human resources is more and more prominent, and the evaluation of the value of human resources is more and more important. From the perspective of economic development, as the only dynamic resource, the important role of human resources in creating social wealth has gained a global consensus. The rational allocation of human resources has a decisive impact on the sustainable development of social economy. Among them, Colleges and universities, as the base for the country to transmit talents, take into account the training and the gathering of talents. The core of the work is college teachers. Therefore, the quantity and quality of college teachers are not only related to the development of colleges and universities but also to the comprehensive quality and competitiveness of the country. Fuzzy comprehensive evaluation methods have different advantages and disadvantages. However, the case analysis proves that the fuzzy comprehensive evaluation method is used to judge the human resource management situation in colleges and universities. Influencing indicators is a quantifiable and predictive scientific method. Based on this, this paper proposes a fuzzy comprehensive evaluation method to evaluate the teacher resources of G College in place A. The experimental results of this paper show that due to the comprehensive effect of each element, the comprehensive evaluation of the first-level evaluation index elements of the human resource management value evaluation system of G College reaches 84%. The comprehensive evaluation of the secondary evaluation indicators of the human resource management value evaluation system reached 72%.