Personnel selection using fuzzy MCDM algorithm

Abstract

In this paper, an algorithm for personnel selection is developed. The method first aggregates decision-makers' linguistic assessments about subjective criteria weightings and ratings to obtain the fuzzy suitability index and its ranking value. Further, combining the subjective and objective ranking values, the final ranking values for personnel suitability evaluation are obtained. Then the most suitable personnel can be selected. Since either test-oriented objective approach or interview-oriented subjective approach has its advantages and disadvantages, the method combining both subjective and objective assessments proposed in this study is desirable and convincing for personnel selection. © 1994.