Personnel selection based on fuzzy methods

the decisions of managers regarding the selection of staff strongly determine the success of the company. a correct choice of employees is a source of competitive advantage. we propose a fuzzy method for staff selection, based on competence management and the comparison with the valuation that the company considers the best in each competence (ideal candidate). our method is based on the hamming distance and a matching level index. the algorithms, implemented in the software staffdesigner, allow us to rank the candidates, even when the competences of the ideal candidate have been evaluated only in part. our approach is applied in a numerical example.