Title :
A Neural Network Approach and Fuzzy Theory for a New Product Development
Author :
Liu, Xiaoliang ; Liu, Xiao
Author_Institution :
Dept. of Econ. & Manage., Binzhou Coll., Binzhou, China
Abstract :
An ANN-based dynamic FQFD method is proposed in order to solve the dynamic and fuzzy nature of QFD, that solves the problem of the dynamic nature by using neural network method, while the introduction of trapezoidal fuzzy number for its ambiguity. Firstly, a combined method with neural networks and FQFD is established, after learning and training, the method can quickly and effectively deliver customer requirements to the products designers. Finally, a case study demonstrates the effectiveness of the proposed method during the course of new products design.
Keywords :
customer satisfaction; fuzzy set theory; neural nets; product design; product development; quality function deployment; ANN based dynamic FQFD method; customer requirements; fuzzy quality function deployment; neural network approach; product development; products design; trapezoidal fuzzy number; Artificial neural networks; Customer satisfaction; Educational institutions; Fuzzy neural networks; Fuzzy set theory; Mechanical engineering; Neural networks; Product design; Product development; Quality function deployment;
Conference_Titel :
Information Engineering and Electronic Commerce (IEEC), 2010 2nd International Symposium on
Conference_Location :
Ternopil
Print_ISBN :
978-1-4244-6972-7
Electronic_ISBN :
978-1-4244-6974-1
DOI :
10.1109/IEEC.2010.5533245
