an integrated fuzzy qfd-mcdm framework for personnel selection problem

In today's competitive and high technology world, companies are forced to differentiate themselves with continuous improvement. they need creative, well-educated, and self-confident human resources more than ever. hiring the right person to the right job plays a significant role on firm growth. the goal of this paper is to propose a systematic approach to personnel selection problem (psp) of a textile company in turkey by considering various performance requirements and criteria. the proposed framework consists of three phases. initially, fuzzy decision-making trial and evaluation laboratory (dematel) method is used to weight social criteria. then, weights of technical requirements are calculated by applying fuzzy quality function deployment (qfd) method allowing the evaluation of the interrelationship and relevance of social and technical criteria. finally, by considering the criteria scores obtained in the previous stage, fuzzy grey relationship analysis (gra) method is applied to rank the alternatives. the method has been illustrated by a case study and compared to the current approach used in the company. the results show that the proposed method can effectively deal with psp and help the company establish a systematic and unbiased approach to the problem.