Designing a Mamdani Fuzzy Inference Expert System for evaluating Human Resources in the Iranian Construction Industry

Document Type : Research Paper

Authors

1 Department of Civil Engineering, Arak Branch, Islamic Azad University, Arak, Iran

2 Department of Construction Engineering and Management, Faculty of Civil Engineering, Khajeh Nasir Toosi University of Technology, Tehran, Iran

3 Department of Management and Construction Engineering, Faculty of Science and Research Branch, Islamic Azad University, Tehran, Iran

Abstract

The importance of human resources is an inescapable issue that lack of proper management will reduce productivity in project-based organizations. human resources assessment is one of the complex processes in organizations that require explicit analysis by strategic, key, and operational jobs in order to periodically monitor, recruit and hire it according to the organizational position of employees. In recent years, various models for measuring human resources in project-based organizations have been proposed, but the important issue is to provide an expert system that can provide results with high reliability. To this end, the fuzzy inference system is felt like a response to this need. Due to the identified study gap, the present study seeks to design an expert system consistent with Mamdani fuzzy inference to measure manpower in a project-based organization in Iran. This system shows the final status of human resource assessment in the Iranian project-oriented organization and the status of each of its main dimensions. In order to show the potential and practical benefits of this system was implemented in a case study. Finally, by analyzing the system outputs, the optimal performance of the designed system is analyzed and finalized with the relevant information of the organization.

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Main Subjects

References

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Interdisciplinary Journal of Management Studies (Formerly known as Iranian Journal of Management Studies)
Volume 15, Issue 4
October 2022
Pages 851-873

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