The objective of this paper is to develop a fuzzy multi-criteria group decision making technique that utilizes the quality function deployment (QFD) methodology for supplier evaluation and selection. The proposed decision approach enables the decision-makers to use linguistic terms, and thus, reduces their cognitive burden in the evaluation process. Furthermore, the proposed algorithm allows for considering the impacts of inner dependence among supplier assessment criteria. The lower and upper bounds of the weights of supplier assessment criteria and ratings of suppliers are computed by using fuzzy weighted average (FWA), which enables the fusion of imprecise and subjective information expressed as linguistic variables or fuzzy numbers and rectifies the problem of loss of information. The final ranking of suppliers is obtained by employing a fuzzy number ranking method that is based on area measurement. The computational procedure of the proposed framework is illustrated through a case study, and a comparative analysis with a well-known fuzzy decision making approach used lately for supplier selection is performed.