Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 7, Issue 2


Published
on

June 11, 2023


Pages

373-380


DOI

Article

Human Resource Management Model of Large Companies Based on Mathematical Statistics Equations


Authors

Qi Feng Affiliation:
Panzhihua University, Panzhihua, 617000, China
and Mohammed Yousif Affiliation:
College of Administrative Sciences, Applied Science University, Bahrain


Abstract

The article applies mathematical statistics to the dynamic analysis of the demand for talents in large companies. Prediction of the overall demand for talents through the use of deep learning models. We use the theory of diminishing marginal utility to solve the degree of enterprise human resource investment under each index. Based on the analysis of traditional human resource management methods, this paper uses the three-dimensional fuzzy model to construct a new three-dimensional fuzzy model of human resource management model. The research found that the algorithm proposed in this paper can improve the quality of data training and improve the matching of people and posts.


Keywords

Mathematical statistics equation, Human resource management model, Talent demand, grey model, 46N30


Citation

Feng, Q. & Yousif, M. (2022). Human resource management model of large companies based on mathematical statistics equations. Applied Mathematics and Nonlinear Sciences, 7(2), 373–380. https://doi.org/10.2478/amns.2022.2.00018

Published by: Engineering Journals

Engineering Journals Logo