Abstract
In this paper, a new analytic hierarchy process (AHP) is proposed to determine the importance weights of customer requirements (CRs) in quality function deployment (QFD) for customer-oriented product design. The new approach combines conventional and fuzzy AHP. It takes into account one’s uncertainty in comparing different pairwise CRs to improve the imprecise rankings in conventional AHP. By employing semi-fuzzy matrices, it guarantees that the final pairwise comparison matrices based on fuzzy scales are positive reciprocal. The problem of imprecise pairwise comparisons in conventional AHP is ameliorated and more accurate results are provided. Finally, a case study of new sports earphones design is given as an example to illustrate this approach.
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