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Article: A methodology of generating customer satisfaction models for new product development using a neuro-fuzzy approach

TitleA methodology of generating customer satisfaction models for new product development using a neuro-fuzzy approach
Authors
KeywordsCustomer Satisfaction Models
Neuro-Fuzzy
New Product Development
Issue Date2009
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/eswa
Citation
Expert Systems With Applications, 2009, v. 36 n. 8, p. 11262-11270 How to Cite?
AbstractWhen 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. © 2009 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/148601
ISSN
2015 Impact Factor: 2.981
2015 SCImago Journal Rankings: 1.839
ISI Accession Number ID
Funding AgencyGrant Number
Research Grants Council of Hong Kong Special Administrative Region, ChinaPoIyU 5184/07E
Funding Information:

This work described in this paper was fully Supported by a grant from the Research Grants Council of Hong Kong Special Administrative Region, China (Project No.: PoIyU 5184/07E).

References

 

DC FieldValueLanguage
dc.contributor.authorKwong, CKen_US
dc.contributor.authorWong, TCen_US
dc.contributor.authorChan, KYen_US
dc.date.accessioned2012-05-29T06:14:01Z-
dc.date.available2012-05-29T06:14:01Z-
dc.date.issued2009en_US
dc.identifier.citationExpert Systems With Applications, 2009, v. 36 n. 8, p. 11262-11270en_US
dc.identifier.issn0957-4174en_US
dc.identifier.urihttp://hdl.handle.net/10722/148601-
dc.description.abstractWhen 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. © 2009 Elsevier Ltd. All rights reserved.en_US
dc.languageengen_US
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/eswaen_US
dc.relation.ispartofExpert Systems with Applicationsen_US
dc.subjectCustomer Satisfaction Modelsen_US
dc.subjectNeuro-Fuzzyen_US
dc.subjectNew Product Developmenten_US
dc.titleA methodology of generating customer satisfaction models for new product development using a neuro-fuzzy approachen_US
dc.typeArticleen_US
dc.identifier.emailChan, KY:kelvinc@pathology.hku.hken_US
dc.identifier.authorityChan, KY=rp00453en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/j.eswa.2009.02.094en_US
dc.identifier.scopuseid_2-s2.0-67349157676en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-67349157676&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume36en_US
dc.identifier.issue8en_US
dc.identifier.spage11262en_US
dc.identifier.epage11270en_US
dc.identifier.isiWOS:000267179500051-
dc.publisher.placeUnited Kingdomen_US

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