Gharibi Yamchi, H., Azar, A., Alvani, M., Seyed Javadin, R. (2016). Comparison of the deterministic and fuzzy approaches in HR planning. Journal of Industrial Strategic Management, 1(1), 39-50.
Hamideh Gharibi Yamchi; Adel Azar; Mehdi Alvani; Reza Seyed Javadin Seyed Javadin. "Comparison of the deterministic and fuzzy approaches in HR planning". Journal of Industrial Strategic Management, 1, 1, 2016, 39-50.
Gharibi Yamchi, H., Azar, A., Alvani, M., Seyed Javadin, R. (2016). 'Comparison of the deterministic and fuzzy approaches in HR planning', Journal of Industrial Strategic Management, 1(1), pp. 39-50.
Gharibi Yamchi, H., Azar, A., Alvani, M., Seyed Javadin, R. Comparison of the deterministic and fuzzy approaches in HR planning. Journal of Industrial Strategic Management, 2016; 1(1): 39-50.
Comparison of the deterministic and fuzzy approaches in HR planning
1Department of Management, Faculty of Management and Accounting, Farabi Campus, University of Tehran, Qom, Iran
2Faculty of Humanities, TarbiyatModarres University, Tehran, Iran
3Faculty of Management, University of AllamehTabataba'i, Tehran, Iran
4Faculty 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.
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