Kansei design based on association rule mining
77 p.
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2011
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| Online Access: | http://hdl.handle.net/10356/47186 |
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| Institution: | Nanyang Technological University |
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sg-ntu-dr.10356-471862023-03-11T17:39:33Z Kansei design based on association rule mining Ainapur Adarsh Arun Jiao Jianxin, Roger School of Mechanical and Aerospace Engineering DRNTU::Engineering::Manufacturing::Product design 77 p. In this dissertation, the kansei design a Japanese method of product development has been analyzed and been incorporated based on association rule mining. A program has been developed to give the association rules for the kansei design. This gives an immense feedback from the customers to the designers of the product as to what the customers look for in their product. The kansei design is purely based on the customers' emotions, expressions on the product. These expressed words as adjectives have to be related to the physical design feature of a product to meet the customers' expectations. In this regard kansei design will provide the required feedback to the designers but a large database will be accumulated out of which the necessary, important information has to be grasped. Master of Science (Computer Integrated Manufacturing) 2011-12-27T06:33:59Z 2011-12-27T06:33:59Z 2005 2005 Thesis http://hdl.handle.net/10356/47186 Nanyang Technological University application/pdf |
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Nanyang Technological University |
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NTU Library |
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Asia |
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Singapore Singapore |
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NTU Library |
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| topic |
DRNTU::Engineering::Manufacturing::Product design |
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DRNTU::Engineering::Manufacturing::Product design Ainapur Adarsh Arun Kansei design based on association rule mining |
| description |
77 p. |
| author2 |
Jiao Jianxin, Roger |
| author_facet |
Jiao Jianxin, Roger Ainapur Adarsh Arun |
| format |
Theses and Dissertations |
| author |
Ainapur Adarsh Arun |
| author_sort |
Ainapur Adarsh Arun |
| title |
Kansei design based on association rule mining |
| title_short |
Kansei design based on association rule mining |
| title_full |
Kansei design based on association rule mining |
| title_fullStr |
Kansei design based on association rule mining |
| title_full_unstemmed |
Kansei design based on association rule mining |
| title_sort |
kansei design based on association rule mining |
| publishDate |
2011 |
| url |
http://hdl.handle.net/10356/47186 |
| _version_ |
1761782075283734528 |