Enterprise Human Resource Quality Management Model based on Grey Relational Analysis

doi:10.23940/ijpe.20.03.p11.419429

Abstract

Abstract: In order to improve the process control ability of enterprise human resource management, an adaptive monitoring method of enterprise human resource management quality based on big data analysis is proposed. The constraint parameter model of enterprise human resource management quality adaptive monitoring is constructed, the grey relational analysis and feature extraction method are used to analyze the quality performance of enterprise human resource management process, the adaptive monitoring model of enterprise human resource management quality is established, and the process optimization and quality control of enterprise human resource management are carried out by using adaptive game and equilibrium optimization methods. The statistical feature analysis model of adaptive monitoring of enterprise human resource management quality is established, and the big data analysis and optimization control of enterprise human resource management process quality is realized by using fuzzy information fusion and adaptive optimization method. The simulation results show that the adaptive monitoring of enterprise human resource management quality is better, the stability is strong, and the adaptive monitoring ability of enterprise human resource management quality is improved.

Key words: grey relational analysis, enterprise human resources, quality management

Wenlu Wang and Gautam Srivastava. Enterprise Human Resource Quality Management Model based on Grey Relational Analysis [J]. Int J Performability Eng, 2020, 16(3): 419-437.

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