A Rough-Sets Approach to Kansei Evaluation Modeling and Design Support

Hongli Ju and Yoshiteru Nakamori
Additional contact information
Hongli Ju: Japan Advanced Institute of Science and Technology, Japan
Yoshiteru Nakamori: Japan Advanced Institute of Science and Technology, Japan

International Journal of Knowledge and Systems Science (IJKSS), 2010, vol. 1, issue 3, 33-44

Abstract: This paper proposes a Kansei modeling technique by using the Rough-sets Theory based on a set of evaluation data for Kutani-ware coffee cups. Kutani-ware is a famous traditional craft that is a very important traditional industry in Japan. However, it has been shrinking recently because of the changes in lifestyle or the appearance of more functional modern products. To reactivate this industry by developing and recommending products that attract people’s feelings, this study develops a modeling technique for identifying relations between design and feeling by obtaining some if-and-then rules. An important contribution of the paper is that the proposed technique can suggest new designs by analyzing customers’ Kansei requirements, which are not used in the evaluation experiment. This makes the recommendation successful by determining people’s Kansei into data instead of attempts.

Date: 2010
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 4018/jkss.2010070103 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jkss00:v:1:y:2010:i:3:p:33-44

Access Statistics for this article

International Journal of Knowledge and Systems Science (IJKSS) is currently edited by Van Nam Huynh

More articles in International Journal of Knowledge and Systems Science (IJKSS) from IGI Global
Bibliographic data for series maintained by Journal Editor ().