Comparison of the deterministic and fuzzy approaches in HR planning

Document Type: Original Article

Authors

1 Department of Management, Faculty of Management and Accounting, Farabi Campus, University of Tehran, Qom, Iran

2 Faculty of Humanities, TarbiyatModarres University, Tehran, Iran

3 Faculty of Management, University of AllamehTabataba'i, Tehran, Iran

4 Faculty of Management, University of Tehran, Tehran, Iran

Abstract

Supplying required human resource is one of the strategic goals of an organization. Therefore, organizations plan and predict the required human resources in order to prevent this problem. Present study using practical approach seeks to assist organizations to achieve their various goals in human resources planning. The designed model in this study clarifies vague, inaccurate, and fuzzy expressions and gives credit to planning model. The basic assumption in this study was the significant difference between the results of the deterministic and the fuzzy human resource planning models in the statistical society. The data were obtained with the help of lingo software. Then, these data were analyzed using paired samples T test and SPSS software. The comparison of the measure of objective function with unfavorable deviations from goals in deterministic and fuzzy models indicated that the fuzzy model had less unfavorable deviations from goals and provided results that were more accurate. Further, the results indicated that the organization should pay more attention to the teleworking manpower in order to achieve its goals in the human resource management.

Keywords

Journal of Industrial Strategic Management

Volume 1, Issue 1
Spring 2016
Pages 39-50

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