Technical importance ratings in fuzzy QFD by integrating fuzzy normalization and fuzzy weighted average

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

27 Scopus Citations
View graph of relations

Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)4207-4221
Journal / PublicationComputers and Mathematics with Applications
Volume62
Issue number11
Publication statusPublished - Dec 2011

Abstract

Fuzzy quality function deployment (QFD) has been extensively used for translating customer requirements (CRs) into product design requirements (DRs) in fuzzy environments. Existing approaches, however, for rating technical importance of DRs in fuzzy environments are found problematic, either incorrect or inappropriate. This paper investigates how the technical importance of DRs can be correctly rated in fuzzy environments. A pair of nonlinear programming models and two equivalent pairs of linear programming models are developed, respectively, to rate the technical importance of DRs. The developed models are examined and illustrated with two numerical examples. © 2011 Elsevier Ltd. All rights reserved.

Research Area(s)

  • Alpha level sets, Fuzzy normalization, Fuzzy QFD, Fuzzy weighted average, Technical importance ratings