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A Human Perception-Based Fashion Design Support System for Mass Customization

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Knowledge Engineering and Management

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 214))

Abstract

When developing mass customized products, human perception on products, including consumer’s and design expert’s perception, should be integrated into the process of design. So in this paper, we originally propose a fashion decision support system for supporting designer’s work. In this system, we first characterize and acquire fashion expert perception and consumer perception on human body shapes. Next, these perceptual data are formalized and analyzed using the intelligent techniques, such as fuzzy set theory, decision tree, and fuzzy cognitive map. The complex relations between these perceptions as well as the physical measurements of body shapes are modeled, leading to the criteria which will permit to determine if a new design style is feasible or not for a given fashion theme. The proposed system is aimed to support customized design and mass market selection in practice.

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Author information

Authors and Affiliations

  1. National Engineering Laboratory for Modern Silk, College of Textile and Clothing Engineering, Soochow University, Suzhou, 215021, People’s Republic of China

    Lichuan Wang & Yan Chen

  2. GEMTEX Laboratory, Roubaix, 59100, France

    Lichuan Wang, Xianyi Zeng & Ludovic Koehl

  3. University of Lille, Nord de France, Lille, 59000, France

    Lichuan Wang, Xianyi Zeng & Ludovic Koehl

Authors
  1. Lichuan Wang
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  2. Xianyi Zeng
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  3. Ludovic Koehl
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  4. Yan Chen
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Corresponding author

Correspondence to Lichuan Wang .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, Beijing, China, People's Republic

    Fuchun Sun

  2. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China, People's Republic

    Tianrui Li

  3. Department of Computer Science and Techn, Tsinghua University, Beijing, China, People's Republic

    Hongbo Li

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© 2014 Springer-Verlag Berlin Heidelberg

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Wang, L., Zeng, X., Koehl, L., Chen, Y. (2014). A Human Perception-Based Fashion Design Support System for Mass Customization. In: Sun, F., Li, T., Li, H. (eds) Knowledge Engineering and Management. Advances in Intelligent Systems and Computing, vol 214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37832-4_49

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  • DOI: https://doi.org/10.1007/978-3-642-37832-4_49

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37831-7

  • Online ISBN: 978-3-642-37832-4

  • eBook Packages: EngineeringEngineering (R0)

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