Fuzzy Modeling in Human Resource Management

EasyChair Preprint 3423

Abstract

This article discusses the problem of constructing a fuzzy modeling method in human resource management and assessing the degree of personnel efficiency. A method of multivariate data analysis in the management of human resources management processes with the implementation of the fuzzy inference procedure is proposed, which allowed to evaluate the degree of personnel performance. Thus, the proposed method and procedures for fuzzy data modeling allow us to study multidimensional processes of human resource management using cloud technologies.

Keyphrases: Fourth Industrial Revolution, Human Resource Management Systems, data analysis, fuzzy inference procedure, fuzzy model, fuzzy sets, linguistic variable, membership function, personnel efficiency

@booklet{EasyChair:3423,
  author    = {Mykola Ivanov and Sergey Ivanov and Nataliia Terentieva and Victoria Maltiz and Iuliia Kaliuzhna},
  title     = {Fuzzy Modeling in Human Resource Management},
  howpublished = {EasyChair Preprint 3423},
  year      = {EasyChair, 2020}}