Show simple item record

dc.contributor.authorKwong, C.
dc.contributor.authorWong, T.
dc.contributor.authorChan, Kit Yan
dc.date.accessioned2017-01-30T12:08:47Z
dc.date.available2017-01-30T12:08:47Z
dc.date.created2014-10-08T06:00:33Z
dc.date.issued2009
dc.identifier.citationKwong, C. and Wong, T. and Chan, K.Y. 2009. A methodology of generating customer satisfaction models for new product development using a neuro-fuzzy approach. Expert Systems with Applications. 36 (8): pp. 11262-11270.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/18606
dc.identifier.doi10.1016/j.eswa.2009.02.094
dc.description.abstract

When developing new products it is important for design teams to understand customer perceptions of consumer products because the success of such products is heavily dependent upon the associated customer satisfaction level. The chance of a new product’s success in a marketplace is higher if users are satisfied with it. In this study, a new methodology of generating customer satisfaction models using a neuro-fuzzy approach is proposed. In contrast to previous research, non-linear and explicit customer satisfaction models can be developed with the use of the proposed methodology. An example of notebook computer design is used to illustrate the methodology. The proposed methodology was measured against the benchmark of statistical regression to determine its effectiveness. Experimental results suggested that the proposed approach outperformed the statistical regression method in terms of mean absolute errors and variance of errors.

dc.publisherElsevier
dc.subjectNew product development
dc.subjectNeuro-fuzzy
dc.subjectCustomer satisfaction models
dc.titleA methodology of generating customer satisfaction models for new product development using a neuro-fuzzy approach
dc.typeJournal Article
dcterms.source.volume36
dcterms.source.number8
dcterms.source.startPage11262
dcterms.source.endPage11270
dcterms.source.issn09574174
dcterms.source.titleExpert Systems with Applications
curtin.departmentDigital Ecosystems and Business Intelligence Institute (DEBII)
curtin.accessStatusFulltext not available


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record