Characterization of fashion themes using fuzzy techniques for designing new human centered products

Research output: Contribution to journalArticle

Authors

  • Yijun Zhu
  • Da Ruan
  • X. Zeng
  • L. Koehl
  • C Chaigneau

Documents & links

DOI

Abstract

Fabric selection plays an important role in fashion garment design. Designers often use both physical and normalized linguistic criteria for fabric selection. Perception and preference of consumers in their specific sociocultural context, expressed by fashion themes or emotional linguistic criteria, affect greatly new fashion product design. Modeling the relationship between linguistic design criteria and fashion themes of a brand image perceived by consumers becomes thus significant. For setting up this model, we first use fuzzy relations and correlation techniques to select the most relevant linguistic design criteria of fabric hand for each specific fashion theme. The selected criteria can then effectively reduce the complexity of the model and interpret consumer perception of fabrics. Finally, we use a weighted aggregation operator to predict the similarity degree between any new product and fashion themes. Compared with other models, the proposed method is more robust and easier to be interpreted with real data collected for design of senior T-shirt fabrics.

Details

Original languageEnglish
Pages (from-to)452-460
JournalInternational Journal of Computational Intelligence Systems
Volume3
Issue number4
DOIs
StatePublished - Oct 2010

Keywords

  • Fabric selection, fashion garment design, data fusion, fuzzy sets, and similarity degree.

ID: 368482