Paper Info
Title
Technical importance ratings in fuzzy QFD by integrating fuzzy normalization and fuzzy weighted average
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.
Year
DOI
Venue
2011
10.1016/j.camwa.2011.10.005
Computers & Mathematics with Applications
Keywords
Field
DocType
linear programming model,developed model,fuzzy quality function deployment,rating technical importance,fuzzy qfd,fuzzy weighted average,nonlinear programming model,technical importance,technical importance rating,fuzzy environment,equivalent pair,customer requirement,fuzzy normalization,numerical example,quality function deployment,nonlinear programming,product design,linear program,level set
Data mining,Normalization (statistics),Fuzzy classification,Fuzzy set operations,Nonlinear programming,Linear programming,Artificial intelligence,Mathematical optimization,Defuzzification,Quality function deployment,Fuzzy logic,Machine learning,Mathematics
Journal
Volume
Issue
ISSN
62
11
0898-1221
Citations 
PageRank 
References 
9
0.54
9
Authors
2
Name
Order
Citations
PageRank
Ying-Ming Wang13256166.96
Kwai-Sang Chin2103354.69