Quality function deployment (QFD) is a systematic approach by which to incorporate the needs of customers within the process of product development. Unfortunately, semantic ambiguity pertaining to “hesitation” tends to undermine the effectiveness of QFD (both the conventional as well as fuzzy versions). In this study, we developed a novel QFD evaluation model referred to as intuitive fuzzy QFD in which an intuitive fuzzy analytic hierarchy process is implemented in conjunction with data envelopment analysis with the aim of deriving a more objective presentation of human thought processes when dealing with multiple-attribute problems within the context of group decision-making. The proposed model also takes into consideration cost limitations and difficulties associated with implementation. The practicality of the proposed model is demonstrated in a case study involving the design of machines for printing touch panels. In practice, this model can help the industrial develop and urge the promotion of design quality.
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