Modern Human Resource Management System Based on Cloud Computing Platform

This paper creates a human resource management system based on a cloud computing platform to achieve effective data analysis and calculation. The effectiveness of resource output is controlled through similarity characterization, fuzzy division of resource data, defining the division area, and then obtaining resource association rules. The system classifies the information of working employees according to the probability data, determines the characteristic attributes of the talent level vector of new employees, and can determine the initial level of new employees through the matching value. It is found that the gender R in the human resource management system increases significantly by 0.132, the R*R value is 0.624, and the behavioral performance is relatively high at 0.09, which indicates that the cloud computing platform can provide a scientific basis for the important decisions of the enterprise. © 2023 He Yu, published by Sciendo.