Design of human resource management system based on progressive fuzzy algorithm

Xichu Zhao

doi:10.1117/12.2671710

21 March 2023 Design of human resource management system based on progressive fuzzy algorithm

Xichu Zhao

Proceedings Volume 12609, International Conference on Computer Application and Information Security (ICCAIS 2022); 126092F (2023) https://doi.org/10.1117/12.2671710
Event: International Conference on Computer Application and Information Security (ICCAIS 2022), 2022, ONLINE, ONLINE

Abstract

Since the reform and opening up, small and medium-sized privately owned economic enterprises have been consolidated, and there is bound to be an urgent need for information systems, especially with the continuous expansion of human resources teams after the development of enterprises. The purpose of human resource management (HRM) is to maximize the use of the company’s human resources, optimize the matching of work and personal abilities, use various incentive mechanisms and evaluation mechanisms, and provide a broad platform for talents. In this paper, a progressive fuzzy algorithm is proposed, the HRM system is designed through fuzzy neural network (FNN) and progressive FNN, and the other systems of the company are connected with the HRM system to realize data sharing. The HRM system is tested by 1200 users, 2400 users and 4800 users. The results show that the performance of the HRM system has been greatly improved in all aspects.

Citation Download Citation

Xichu Zhao "Design of human resource management system based on progressive fuzzy algorithm", Proc. SPIE 12609, International Conference on Computer Application and Information Security (ICCAIS 2022), 126092F (21 March 2023); https://doi.org/10.1117/12.2671710

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