TY - JOUR
T1 - A hybrid fuzzy quality function deployment framework using cognitive network process and aggregative grading clustering
T2 - An application to cloud software product development
AU - Yuen, Kevin Kam Fung
PY - 2014/10/22
Y1 - 2014/10/22
N2 - Quality function deployment (QFD) is an essential decision tool for product development in various domains. QFD enables the cross-functional team to translate the customer requirements into engineering characteristics during product development. Whilst there are some limitations for criteria evaluation and analysis in QFD, this study proposes a hybrid framework of Fuzzy Cognitive Network Process, Aggregative Grading Clustering, and Quality Function Deployment (F-CNP-AGC-QFD) for the criteria evaluation and analysis in QFD. The fuzzy number applied to the QFD, i.e. FQFD, enables rating flexibility for the expert judgment to handle uncertainty. The Fuzzy Cognitive Network Process (FCNP) is used for the criteria weights/priorities evaluation. The Fuzzy Aggregative Grading Clustering (FAGC) classifies the weights/priorities as ordinal grades. The proposed hybrid QFD approach applied to the cloud software product development is demonstrated to show the validity and applicability.
AB - Quality function deployment (QFD) is an essential decision tool for product development in various domains. QFD enables the cross-functional team to translate the customer requirements into engineering characteristics during product development. Whilst there are some limitations for criteria evaluation and analysis in QFD, this study proposes a hybrid framework of Fuzzy Cognitive Network Process, Aggregative Grading Clustering, and Quality Function Deployment (F-CNP-AGC-QFD) for the criteria evaluation and analysis in QFD. The fuzzy number applied to the QFD, i.e. FQFD, enables rating flexibility for the expert judgment to handle uncertainty. The Fuzzy Cognitive Network Process (FCNP) is used for the criteria weights/priorities evaluation. The Fuzzy Aggregative Grading Clustering (FAGC) classifies the weights/priorities as ordinal grades. The proposed hybrid QFD approach applied to the cloud software product development is demonstrated to show the validity and applicability.
KW - Fuzzy clustering
KW - Fuzzy decision making
KW - New product development
KW - Quality function deployment
KW - Software development
UR - http://www.scopus.com/inward/record.url?scp=84904365394&partnerID=8YFLogxK
U2 - 10.1016/j.neucom.2014.03.045
DO - 10.1016/j.neucom.2014.03.045
M3 - Article
AN - SCOPUS:84904365394
SN - 0925-2312
VL - 142
SP - 95
EP - 106
JO - Neurocomputing
JF - Neurocomputing
ER -