A methodology of generating customer satisfaction models for new product development using a neuro-fuzzy approach
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 a...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Elsevier
2009
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| Online Access: | http://hdl.handle.net/20.500.11937/18606 |
| _version_ | 1848749793339244544 |
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| author | Kwong, C. Wong, T. Chan, Kit Yan |
| author_facet | Kwong, C. Wong, T. Chan, Kit Yan |
| author_sort | Kwong, C. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T07:26:35Z |
| format | Journal Article |
| id | curtin-20.500.11937-18606 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:26:35Z |
| publishDate | 2009 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-186062018-03-29T09:06:22Z A methodology of generating customer satisfaction models for new product development using a neuro-fuzzy approach Kwong, C. Wong, T. Chan, Kit Yan New product development Neuro-fuzzy Customer satisfaction models 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. 2009 Journal Article http://hdl.handle.net/20.500.11937/18606 10.1016/j.eswa.2009.02.094 Elsevier restricted |
| spellingShingle | New product development Neuro-fuzzy Customer satisfaction models Kwong, C. Wong, T. Chan, Kit Yan A methodology of generating customer satisfaction models for new product development using a neuro-fuzzy approach |
| title | A methodology of generating customer satisfaction models for new product development using a neuro-fuzzy approach |
| title_full | A methodology of generating customer satisfaction models for new product development using a neuro-fuzzy approach |
| title_fullStr | A methodology of generating customer satisfaction models for new product development using a neuro-fuzzy approach |
| title_full_unstemmed | A methodology of generating customer satisfaction models for new product development using a neuro-fuzzy approach |
| title_short | A methodology of generating customer satisfaction models for new product development using a neuro-fuzzy approach |
| title_sort | methodology of generating customer satisfaction models for new product development using a neuro-fuzzy approach |
| topic | New product development Neuro-fuzzy Customer satisfaction models |
| url | http://hdl.handle.net/20.500.11937/18606 |