Title of article :
Comparison of the deterministic and fuzzy approaches in HR planning
Author/Authors :
Gharibi Yamchi, Hamideh Department of Management - University of Tehran, Qom , Azar, Adel Faculty of Humanities - Tarbiyat Modarres University , Alvani, Mehdi Faculty of Management - University of AllamehTabataba'i , Seyed Javadin, Reza Faculty of Management - University of Tehran
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 :
Manpower , planning , goal programming , fuzzy logic
Journal title :
Astroparticle Physics