Supplier selection possesses the need to evaluate multiple criteria incorporating vagueness and imprecision with the involvement of a group of experts, and is considered as a crucial multi-criteria group decision making problem. In this paper, a novel fuzzy multi-criteria group decision making approach integrating quality function deployment (QFD), fuzzy weighted average (FWA), and data envelopment analysis (DEA) is developed for supplier selection. The proposed methodology enables to consider the impacts of inner dependence among supplier assessment criteria. The upper and the lower bounds of the weights of supplier assessment criteria are identified by using FWA method that allows for the fusion of imprecise and subjective information expressed as linguistic variables. DEA is implemented for supplier selection utilizing the data from the house of quality (HOQ) and the weights of supplier assessment criteria obtained using FWA. The proposed decision making framework is illustrated using a data set from a previously reported supplier selection problem. The proposed approach is a sound and effective decision aid that considers qualitative as well as quantitative aspects, and thus improves the quality of complex supplier selection decisions.