Have a personal or library account? Click to login
Design Optimization of Men’s Suits Based on Consumer Preference Cover

Design Optimization of Men’s Suits Based on Consumer Preference

By: Xiao-Xi Zhou,  He Zhang and  Yue Zhao  
Open Access
|Oct 2025

Figures & Tables

Fig. 1.

Illustration of suit samples
Illustration of suit samples

Fig. 2.

BP neural network structure
BP neural network structure

Fig. 3.

Result parameters of BP neural network
Result parameters of BP neural network

Fig. 4.

Error curve of BP neural network
Error curve of BP neural network

Fig. 5.

Design flow of integrated algorithm
Design flow of integrated algorithm

Fig. 6.

Optimization scheme of a men’s suit
Optimization scheme of a men’s suit

Illustrations of design elements and features of a men’s suit

Attribute (Design element)Level (Design feature)
FABRIC(A)
COLOR(B)
SILHOUETTE (C)
COLLAR OPENING (D)
BOTTOM HEM (E)
COLLAR TYPE (F)
WAIST POCKET (G)

Actual value and predicted value of consumer preference

Actual value of consumer preferenceNormalization of actual valuePredicted value of consumer preferenceNormalization of predicted value
0.490.500.150.00
0.571.000.781.00
0.560.940.190.07
0.430.130.740.93
0.440.190.340.30
0.410.000.230.14

Optimization scheme of a men’s suit

Design elementDesign featureGraphical Presentation
Fabric (A)Solid color (A1)
Color (B)Black (B1)
Silhouette (C)V (C1)
Collar opening (D)Single row 3 button (D3)
Bottom hem (E)Big rounded corner (E3)
Collar type (F)Shawl collar (F3)
Waist pocket (G)Double-besom pocket (G1)
DOI: https://doi.org/10.2478/ftee-2025-0008 | Journal eISSN: 2300-7354 | Journal ISSN: 1230-3666
Language: English
Page range: 79 - 86
Published on: Oct 23, 2025
Published by: Łukasiewicz Research Network, Institute of Biopolymers and Chemical Fibres
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2025 Xiao-Xi Zhou, He Zhang, Yue Zhao, published by Łukasiewicz Research Network, Institute of Biopolymers and Chemical Fibres
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.