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.
| Original language | English |
|---|---|
| Pages (from-to) | 4207-4221 |
| Journal | Computers and Mathematics with Applications |
| Volume | 62 |
| Issue number | 11 |
| DOIs | |
| Publication status | Published - Dec 2011 |
Research Keywords
- Alpha level sets
- Fuzzy normalization
- Fuzzy QFD
- Fuzzy weighted average
- Technical importance ratings
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