Market segmentation and ideal point identification for new product design using fuzzy data compression and fuzzy clustering methods
In product design, various methodologies have been proposed for market segmentation, which group consumers with similar customer requirements into clusters. Central points on market segments are always used as ideal points of customer requirements for product design, which reflects particular compet...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Elsevier
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/16373 |
| _version_ | 1848749158496731136 |
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| author | Chan, Kit Yan Kwong, C. Hu, B. |
| author_facet | Chan, Kit Yan Kwong, C. Hu, B. |
| author_sort | Chan, Kit Yan |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In product design, various methodologies have been proposed for market segmentation, which group consumers with similar customer requirements into clusters. Central points on market segments are always used as ideal points of customer requirements for product design, which reflects particular competitive strategies to effectively reach all consumers’ interests. However, existing methodologies ignore the fuzziness on consumers’ customer requirements. In this paper, a new methodology is proposed to perform market segmentation based on consumers’ customer requirements, which exist fuzziness. The methodology is an integration of a fuzzy compression technique for multi-dimension reduction and a fuzzy clustering technique. It first compresses the fuzzy data regarding customer requirements from high dimensions into two dimensions. After the fuzzy data is clustered into marketing segments, the centre points of market segments are used as ideal points for new product development. The effectiveness of the proposed methodology in market segmentation and identification of the ideal points for new product design is demonstrated using a case study of new digital camera design. |
| first_indexed | 2025-11-14T07:16:29Z |
| format | Journal Article |
| id | curtin-20.500.11937-16373 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:16:29Z |
| publishDate | 2011 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-163732019-02-19T04:25:52Z Market segmentation and ideal point identification for new product design using fuzzy data compression and fuzzy clustering methods Chan, Kit Yan Kwong, C. Hu, B. fuzzy clustering fuzzy compression product design digital camera design Ideal point Market segmentation In product design, various methodologies have been proposed for market segmentation, which group consumers with similar customer requirements into clusters. Central points on market segments are always used as ideal points of customer requirements for product design, which reflects particular competitive strategies to effectively reach all consumers’ interests. However, existing methodologies ignore the fuzziness on consumers’ customer requirements. In this paper, a new methodology is proposed to perform market segmentation based on consumers’ customer requirements, which exist fuzziness. The methodology is an integration of a fuzzy compression technique for multi-dimension reduction and a fuzzy clustering technique. It first compresses the fuzzy data regarding customer requirements from high dimensions into two dimensions. After the fuzzy data is clustered into marketing segments, the centre points of market segments are used as ideal points for new product development. The effectiveness of the proposed methodology in market segmentation and identification of the ideal points for new product design is demonstrated using a case study of new digital camera design. 2011 Journal Article http://hdl.handle.net/20.500.11937/16373 10.1016/j.asoc.2011.11.026 Elsevier fulltext |
| spellingShingle | fuzzy clustering fuzzy compression product design digital camera design Ideal point Market segmentation Chan, Kit Yan Kwong, C. Hu, B. Market segmentation and ideal point identification for new product design using fuzzy data compression and fuzzy clustering methods |
| title | Market segmentation and ideal point identification for new product design using fuzzy data compression and fuzzy clustering methods |
| title_full | Market segmentation and ideal point identification for new product design using fuzzy data compression and fuzzy clustering methods |
| title_fullStr | Market segmentation and ideal point identification for new product design using fuzzy data compression and fuzzy clustering methods |
| title_full_unstemmed | Market segmentation and ideal point identification for new product design using fuzzy data compression and fuzzy clustering methods |
| title_short | Market segmentation and ideal point identification for new product design using fuzzy data compression and fuzzy clustering methods |
| title_sort | market segmentation and ideal point identification for new product design using fuzzy data compression and fuzzy clustering methods |
| topic | fuzzy clustering fuzzy compression product design digital camera design Ideal point Market segmentation |
| url | http://hdl.handle.net/20.500.11937/16373 |