Conceptual Applicant Screening Model with Fuzzy Logic in Industrial Organizational Contexts

Based on the previous research in human resources selection process modelling by industrial engineers and on the multilevel theory and research in organizations principles, we are proposing an applicant screening fuzzy expert system that deals with short listing the most suitable candidates for a technical position in an industrial multinational company. We have taken into account as input variables three mandatory criteria listed in the recruitment announcement: education, previous professional experience and motivation for occupying the position. Based on the decisions of our fuzzy expert system, automatic applicant selection procedure will be able to distinct between candidates that do not meet the mandatory criteria and candidates that are suitable for a vacant technical position and will be invited for an interview.