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Design Science Journal
Papers

Rough Set Based Rule Mining for Affective Design

Rough Set Based Rule Mining for Affective Design

Year: 2009

Section: Human Behavior in Design

Editor: Norell Bergendahl, M.; Grimheden, M.; Leifer, L.; Skogstad, P.; Lindemann, U.

Author: Zhou, Feng; Jiao, Roger Jianxin; Schaefer, Dirk; Chen, Songlin

Section: Human Behavior in Design

Pages: 245-254

Abstract

Affective design plays an important role in the development of products and services towards high value-added customer satisfaction. The main challenge for affective design is identified as how to translate affective customer needs into design elements. Towards this end, this paper formulates this problem as a rule mining process from the customer domain to the designer domain and proposes a rough set based K-optimal rule discovery method. A rule importance measure, taking rule semantics into account, is used to evaluate and refine the generated rules. A case study of truck cab interior design is also presented to illustrate the potential of the proposed method.

Keywords: Rule mining, affective design, rough set, K-optimal rule discovery

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The Design Society and the Stanford Center for Design Research cordially invite you to participate in the International Conference on Engineering Design, ICED'09. The venue will be Stanford University’s verdant campus in the heart of Silicon Valley, a short 35 miles south of San Francisco, California. Research papers and case studies are solicited on any topic related to design thinking, theory, and practice, with a premium placed on evidence-based research. Topics and Themes include: *...

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Keywords
Design 2010