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 wit...
Highlights
Designers select an appropriate fabric material based on their knowledge and experience for fashion product development
The physical properties are characterized by instrumental measures while the sensory linguistic criteria are determined by classical descriptive sensory evaluation methods[1,2] at different levels
We propose a new method to model the relationship between basic sensory criteria and fashion themes using fuzzy modeling techniques[12,13,14,15] and aggregation techniques.[16,17]
Summary
Designers select an appropriate fabric material based on their knowledge and experience for fashion product development. Key features on garment products can generally be characterized using three information sources: 1) physical measures by appropriate devices (numerical data), 2) normalized basic sensory evaluation data (normalized and neutral linguistic data), and 3) consumer perception on garment products (emotional linguistic data). The textile design criteria include physical properties such as shear stiffness, bending rigidity, thickness, and sensory aspects such as fabric hand evaluation, and visual evaluation. The physical properties are characterized by instrumental measures while the sensory linguistic criteria are determined by classical descriptive sensory evaluation methods[1,2] at different levels (fabric hand, vision, and olfaction).
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More From: International Journal of Computational Intelligence Systems
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