@article{(Open Science Index):https://publications.waset.org/pdf/14092, title = {A Rough-set Based Approach to Design an Expert System for Personnel Selection}, author = {Ehsan Akhlaghi}, country = {}, institution = {}, abstract = {Effective employee selection is a critical component of a successful organization. Many important criteria for personnel selection such as decision-making ability, adaptability, ambition, and self-organization are naturally vague and imprecise to evaluate. The rough sets theory (RST) as a new mathematical approach to vagueness and uncertainty is a very well suited tool to deal with qualitative data and various decision problems. This paper provides conceptual, descriptive, and simulation results, concentrating chiefly on human resources and personnel selection factors. The current research derives certain decision rules which are able to facilitate personnel selection and identifies several significant features based on an empirical study conducted in an IT company in Iran.}, journal = {International Journal of Industrial and Manufacturing Engineering}, volume = {5}, number = {6}, year = {2011}, pages = {999 - 1002}, ee = {https://publications.waset.org/pdf/14092}, url = {https://publications.waset.org/vol/54}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 54, 2011}, }