Research on the Method of Style Knowledge Acquisition Based on the Kansei Engineering

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Abstract:

To solve the problem of the uncertain style knowledge acquisition during the product designing, the information model oft style with Kansei Engineering and a reduct approach to style information based on rough sets is introduced. On the basis of the attribute analysis of form features and the image semantic extractions by the web-based style evaluation system. In the system the evaluate information of style is obtained and the decision-making table is constructed. And then the valuable knowledge rules represented the typical product style are acquired through the attribute reduction algorithm. Finally, the attribute feature sets related to the different style image could be presented. Typical Ming-style chairs as an example to show that the method is effective and feasible.

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Periodical:

Advanced Materials Research (Volumes 204-210)

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946-949

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February 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Mitsuo Nagamachi: Kansei engineering as a powerful consumer-oriented technology for product development. Applied Ergonomics. Vol 33, No 3, 2002: p.289~294.

DOI: 10.1016/s0003-6870(02)00019-4

Google Scholar

[2] S. Martin : Psychological challenges for the analysis of style. Artificial Intelligence in Engineering Design, Analysis and Manufacturing. Vol. 20: p.167–184. (2006).

DOI: 10.1017/s089006040606015x

Google Scholar

[3] Li Huaying, LUuo Ziqiang, Li Deyi: Knowledge representation in car's style based on cloud model. Ship Electronic Engineering . Vol. 26, No6. 2006: pp.1-4.

Google Scholar

[4] Jiao Jianxin, Zhang Yiyang, Martin Helander: A Kansei mining system for affective design, Expert Systems with Applications. Vol. 30, No4: 658~673, (2006).

DOI: 10.1016/j.eswa.2005.07.020

Google Scholar

[5] Willy Huang: A Study on Traditional Furniture Styling Apply to Digital Archiving─Taiwanese Traditional Arm Chair. Master Dissertation . National Yunlin University of Science and Technology. (2005).

Google Scholar

[6] Pawlak.Zdzisalaw: Rough Set Approach to Knowledge—based Decision Support.European Journal of Operational Research, 1997, 99(1): 48 57.

Google Scholar

[7] Pawlak and Andrzej Skowron: Rough sets and Boolean reasoning. Information Sciences, Vol. 177, No17. 2007: pp.41-73.

DOI: 10.1016/j.ins.2006.06.007

Google Scholar

[8] J. W. Grzymala-Busse, In: Rough Sets in Knowledge Discovery 2, Applications, Case Studies and Software Systems, edited by L. Polkowski and A. Skowron, Physica-Verlag Publishers(1998), 562–565.

DOI: 10.1007/978-3-7908-1883-3

Google Scholar