A fuzzy ordinary regression method for modeling customer preference in tea maker design
Faced with fierce competition in marketplaces, manufacturers need to determine the appropriate settings of engineering characteristics of the new products so that the best customer preferences of the products can be obtained. To achieve this, functional models relating customer preferences to engine...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Elsevier BV
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/2955 |
| _version_ | 1848744095366774784 |
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| author | Chan, Kit Yan Kwong, C. Law, M.C. |
| author_facet | Chan, Kit Yan Kwong, C. Law, M.C. |
| author_sort | Chan, Kit Yan |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Faced with fierce competition in marketplaces, manufacturers need to determine the appropriate settings of engineering characteristics of the new products so that the best customer preferences of the products can be obtained. To achieve this, functional models relating customer preferences to engineering characteristics need to be developed. As information regarding functional relationships between customer preferences are generally subjective or heuristic in nature, development of the customer preference models involve two uncertainties, namely fuzziness and randomness. Existing approaches use only fuzzy-based technologies to address the uncertainty caused by fuzziness. They are not designed to address the randomness of the observed data which is caused by a limited knowledge of the variability of influences between customer preferences and engineering characteristics. In this article, a fuzzy ordinary regression method is proposed to develop the customer preference models which are capable of addressing the two uncertainties of crispness and fuzziness of the customer preferences. A case study of a tea maker design which involves both uncertainties is used to demonstrate the effectiveness of the proposed method. |
| first_indexed | 2025-11-14T05:56:01Z |
| format | Journal Article |
| id | curtin-20.500.11937-2955 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T05:56:01Z |
| publishDate | 2014 |
| publisher | Elsevier BV |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-29552019-02-19T04:25:53Z A fuzzy ordinary regression method for modeling customer preference in tea maker design Chan, Kit Yan Kwong, C. Law, M.C. New product development fuzzy regression tea makers fuzzy modelling customer preference Faced with fierce competition in marketplaces, manufacturers need to determine the appropriate settings of engineering characteristics of the new products so that the best customer preferences of the products can be obtained. To achieve this, functional models relating customer preferences to engineering characteristics need to be developed. As information regarding functional relationships between customer preferences are generally subjective or heuristic in nature, development of the customer preference models involve two uncertainties, namely fuzziness and randomness. Existing approaches use only fuzzy-based technologies to address the uncertainty caused by fuzziness. They are not designed to address the randomness of the observed data which is caused by a limited knowledge of the variability of influences between customer preferences and engineering characteristics. In this article, a fuzzy ordinary regression method is proposed to develop the customer preference models which are capable of addressing the two uncertainties of crispness and fuzziness of the customer preferences. A case study of a tea maker design which involves both uncertainties is used to demonstrate the effectiveness of the proposed method. 2014 Journal Article http://hdl.handle.net/20.500.11937/2955 10.1016/j.neucom.2013.12.056 Elsevier BV fulltext |
| spellingShingle | New product development fuzzy regression tea makers fuzzy modelling customer preference Chan, Kit Yan Kwong, C. Law, M.C. A fuzzy ordinary regression method for modeling customer preference in tea maker design |
| title | A fuzzy ordinary regression method for modeling customer preference in tea maker design |
| title_full | A fuzzy ordinary regression method for modeling customer preference in tea maker design |
| title_fullStr | A fuzzy ordinary regression method for modeling customer preference in tea maker design |
| title_full_unstemmed | A fuzzy ordinary regression method for modeling customer preference in tea maker design |
| title_short | A fuzzy ordinary regression method for modeling customer preference in tea maker design |
| title_sort | fuzzy ordinary regression method for modeling customer preference in tea maker design |
| topic | New product development fuzzy regression tea makers fuzzy modelling customer preference |
| url | http://hdl.handle.net/20.500.11937/2955 |