Kansei Engineering: Kansei/Affective Engineering (Industrial Innovation)
A guided tour through the each stages of process, Kansei/Affective Engineering explores how to apply Kansei/Affective Engineering. It describes the psychological survey and psycho-physiological measurement of consumer feelings and the multivariate statistical analysis of this survey data, including...
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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CRC Press
2012
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| Những chủ đề: | |
| Truy cập trực tuyến: | http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/30147 |
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oai:scholar.dlu.edu.vn:DLU123456789-301472012-03-11T09:31:04Z Kansei Engineering: Kansei/Affective Engineering (Industrial Innovation) Lokman Engineering A guided tour through the each stages of process, Kansei/Affective Engineering explores how to apply Kansei/Affective Engineering. It describes the psychological survey and psycho-physiological measurement of consumer feelings and the multivariate statistical analysis of this survey data, including rough set models. Since soft computing technology is very useful from the viewpoint of product design, the author details the Expert system, neural networks, GA, and other relevant methods to support the designer's decision or the customer's choice. The text includes applied examples in areas such as automotive, home electrics, appliances, cosmetics, packaging, and e-commerce business. 2012-03-07T06:48:06Z 2012-03-07T06:48:06Z 2010 Book 9781439821336 http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/30147 en application/pdf CRC Press |
| institution |
Thư viện Trường Đại học Đà Lạt |
| collection |
Thư viện số |
| language |
English |
| topic |
Engineering |
| spellingShingle |
Engineering Lokman Kansei Engineering: Kansei/Affective Engineering (Industrial Innovation) |
| description |
A guided tour through the each stages of process, Kansei/Affective Engineering explores how to apply Kansei/Affective Engineering. It describes the psychological survey and psycho-physiological measurement of consumer feelings and the multivariate statistical analysis of this survey data, including rough set models. Since soft computing technology is very useful from the viewpoint of product design, the author details the Expert system, neural networks, GA, and other relevant methods to support the designer's decision or the customer's choice. The text includes applied examples in areas such as automotive, home electrics, appliances, cosmetics, packaging, and e-commerce business. |
| format |
Book |
| author |
Lokman |
| author_facet |
Lokman |
| author_sort |
Lokman |
| title |
Kansei Engineering: Kansei/Affective Engineering (Industrial Innovation) |
| title_short |
Kansei Engineering: Kansei/Affective Engineering (Industrial Innovation) |
| title_full |
Kansei Engineering: Kansei/Affective Engineering (Industrial Innovation) |
| title_fullStr |
Kansei Engineering: Kansei/Affective Engineering (Industrial Innovation) |
| title_full_unstemmed |
Kansei Engineering: Kansei/Affective Engineering (Industrial Innovation) |
| title_sort |
kansei engineering: kansei/affective engineering (industrial innovation) |
| publisher |
CRC Press |
| publishDate |
2012 |
| url |
http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/30147 |
| _version_ |
1757651070087069696 |