文献类型：期刊文献

英文题名：A probabilistic model for prioritizing engineering design requirements in uncertain QFD

作者：Yan, Hong-Bin[1]; Ma, Tieju[1]

机构：[1] School of Business, East China University of Science and Technology, Meilong Road 130, Shanghai 200237, China

年份：2013

卷号：8032 LNAI

起止页码：23

外文期刊名：Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

收录：EI(收录号：20132916512397)

语种：英文

外文关键词：Uncertainty analysis - Problem solving - Product design - Quality function deployment - Knowledge based systems

摘要：Quality function deployment (QFD) is a planning and problem-solving tool gaining wide acceptance for translating customer requirements (CRs) into the design requirements (DRs) of a product. Deriving the priority order of DRs from input variables is a crucial step in applying QFD. Due to the inherent vagueness or impreciseness in QFD, the use of fuzzy linguistic variables for prioritizing DRs has become more and more important in QFD applications. This paper proposes a probabilistic model for prioritizing engineering DRs in QFD based on the order-based semantics of linguistic information and fuzzy preference relations of linguistic profiles, under random interpretations of customers, design team, and CRs. A case study taken from the literature is used to illuminate the proposed technique and to compare with the previous techniques. This approach enhances the fuzzy-computation-based models proposed in the previous studies by eliminate the burden of quantifying qualitative concepts. ? 2013 Springer-Verlag Berlin Heidelberg.