Innovative Design of Bionic Wall Lamps with Traditional Auspicious Elements Integrating FAHP-TOPSIS-DC GAN

LI Xiaofan; ZHANG Yizhou

doi:10.19554/j.cnki.1001-3563.2026.14.035

PDF(10281 KB)

Packaging Engineering ›› 2026, Vol. 47 ›› Issue (14) : 417-427. DOI: 10.19554/j.cnki.1001-3563.2026.14.035

Design Discussion

Innovative Design of Bionic Wall Lamps with Traditional Auspicious Elements Integrating FAHP-TOPSIS-DC GAN

LI Xiaofan¹, ZHANG Yizhou^2,*

Author information +

History +

Abstract

The work aims to apply the deep convolutional generative adversarial network (DC GAN) to construct a sustainable design method for the application of auspicious elements in bionic home design, and to design products that conform to modern users' aesthetic standards and home environments. The integrated approach of TOPSIS, FAHP and GAN was used to achieve sustainable design of bionic wall lamps with auspicious elements. Firstly, the TOPSIS method was utilized to evaluate numerous auspicious elements and screen out the most representative categories of auspicious elements. Then, through the fuzzy Analytic Hierarchy Process (FAHP), a hierarchical analysis of the design requirements for auspicious element wall lamps was constructed to determine the weights of each indicator and provide a basis for the design. Next, the selected scheme was optimized and simulated by applying the deep convolutional generative adversarial network (DC GAN), and the sample images of auspicious element patterns were trained and generated. With the participation of designers in optimization, the design scheme was further improved. In conclusion, by integrating FAHP, TOPSIS and DC GAN, this article achieves the design efficiency of applying traditional culture to bionic product design. It verifies the application potential of combining multiple methods in complex design problems, providing strong support for future sustainable design.

Key words

deep convolutional generative adversarial network (DC GAN) / cultural and creative products / home design / sustainable design / FAHP/TOPSIS

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

LI Xiaofan, ZHANG Yizhou. Innovative Design of Bionic Wall Lamps with Traditional Auspicious Elements Integrating FAHP-TOPSIS-DC GAN[J]. Packaging Engineering. 2026, 47(14): 417-427 https://doi.org/10.19554/j.cnki.1001-3563.2026.14.035

References

[1] 李宣, 桂基铭. 交互叙事视角下智能家居虚拟展示设计策略研究[J]. 包装工程, 2025, 46(8): 507-515.
LI X, GUI J M.Research on Virtual Display Design Strategy of Smart Home from the Perspective of Interactive Narrative[J]. Packaging Engineering, 2025, 46(8): 507-515.
[2] 崔蒙蒙, 杨东芳, 刘览宇, 等. 米兰国际家具展中的可持续设计范式分析[J]. 家具与室内装饰, 2025, 32(1): 85-91.
CUI M M, YANG D F, LIU L Y, et al.Analysis of Sustainable Design Paradigms in the Milan International Furniture Fair[J]. Furniture and Interior Decoration, 2025, 32(1): 85-91.
[3] 郝志刚. 中国传统元素在视觉传达设计中的应用[J]. 包装工程, 2021, 42(10): 334-337.
HAO Z G.Application of Traditional Chinese Elements in Visual Communication Design[J]. Packaging Engineering, 2021, 42(10): 334-337.
[4] 戴宗超, 李杰, 张扬, 等. 基于生成式特征图的深度学习模型局部性能可视分析方法[J/OL]. 计算机辅助设计与图形学学报, 1-17 [2025-12-18]. https://link. cnki.net/urlid/11.2925.tp.20241029.1354.029.
DAI Z C, LI J, ZHANG Y, et al. Visual Analysis Method for Local Performance of Deep Learning Models Based on Generative Feature Maps [J/OL] Journal of computer aided design and graphics, 1-17 [2025-12-18]. https://link.cnki.net/urlid/11.2925.tp.20241029.1354.029.
[5] Fejjari A, Abela A, Tanti M, et al.Evaluation of StyleGAN-CLIP Models in Text-to-Image Generation of Faces[J]. Applied Sciences, 2025, 15(15): 8692.
[6] Lim W, Yong K S C, Lau B T, et al. Future of generative adversarial networks (GAN) for anomaly detection in network security: A review[J]. Computers & Security, 2024, 139: 103733.
[7] 高云庭. 人工智能2.0驱动的可持续设计升维路径研究[J]. 包装工程, 2022, 43(2): 200-210.
GAO Y T.Research on the Dimensional Upgrade Path of Sustainable Design Driven by Artificial Intelligence 2.0[J] Packaging Engineering, 2022, 43(2): 200-210.
[8] 杨雅茜, 袁川川, 江牧. 大数据与智能化环境下的可持续设计趋势研究[J]. 包装工程, 2020, 41(14): 16-20.
YANG Y X, YUAN C C, JIANG M.Research on Sustainable Design Trends in Big Data and Intelligent Environment[J]. Packaging Engineering, 2020, 41(14): 16-20.
[9] 黄敏莹, 张瑞秋, 朱国栋. 基于SAPAD-FAHP的气切护理产品设计研究[J]. 设计, 2025, 38(4): 129-133.
HUANG M Y, ZHANG R Q, ZHU G D.Research on the Design of Tracheotomy Care Products Based on SAPAD-FAHP[J]. Design, 2025, 38(4): 129-133.
[10] Chia Liang Lin.Sustainable Design Factors and Solutions Analysis and Assessment for the Graphic Design Industry: A Hybrid Fuzzy AHP-Fuzzy MARCOS Approach[J]. Mathematics, 2024, 12(24): 4014-4014.
[11] 高瞻, 李振宇. 用户感知下的设计展览动态海报设计研究[J]. 包装工程, 2024, 45(22): 273-282.
GAO Z, LI Z Y.Research on Dynamic Poster Design of Design Exhibition under User Perception[J]. Packaging Engineering, 2024, 45(22): 273-282.
[12] 王媚雪, 胡宇琦. 基于AHP-TOPSIS法的自闭症儿童依恋产品设计研究[J]. 包装工程, 2021, 42(18): 220-226.
WANG M X, HU Y Q.Research on Attachment Product Design for Autistic Children Based on AHP-TOPSIS Method[J] Packaging Engineering, 2021, 42(18): 220-226.
[13] 瞿治国, 陈韦龙, 孙乐, 刘文杰, 张彦春. ECG-QGAN: 基于量子深度卷积生成对抗网络的心电图生成式信息系统[J]. 计算机研究与发展, 2025, 62(7): 1622-1638.
QU Z G, CHEN W L, SUN L, LIU WJ, ZHANG Y C.ECG-QGAN: Electrocardiogram Generative Information System Based on Quantum Generative Adversarial Network[J]. Computer Research and Development, 2025, 62(7): 1622-1638.
[14] Rubina Riaz, Guangjie Han, Kamran Shaukat, Naimat Ullah Khan, Hongbo Zhu, Lei Wang.A novel ensemble Wasserstein GAN framework for effective anomaly detection in industrial internet of things environments[J]. Scientific Reports, 2025, 15(1): 26786-26786.
[15] 董清, 赵琳, 姜博, 等. AIGC视阈下融合熵权TOPSIS-AHP-VIKOR的城市家具设计研究[J]. 家具与室内装饰, 2025, 32(6): 1-8.
DONG Q, ZHAO L, JIANG B, et al.Research on Urban Furniture Design Integrating Entropy Weight TOPSIS- AHP-VIKOR from the Perspective of AIGC[J] Furniture & Interior Decoration, 2025, 32(6): 1-8. DOI:10. 16771/j.cn43-1247/ts.2025.06.001.
[16] 李宇轩, 韩旭, 余毅. 基于模糊Kano模型与熵权TOPSIS的产品设计研究[J]. 包装工程, 2022, 43(18): 57-64.
LI Y X, HAN X, YU Y.Research on Product Design Based on Fuzzy Kano Model and Entropy Weight TOPSIS[J] Packaging Engineering, 2022, 43(18): 57-64.
[17] 季少融, 杨程. 中国传统文化在文创产品设计中的创新价值评估[J]. 包装工程, 2025, 46(6): 238-249.
JI S R, YANG C.Evaluation of the Innovative Value of Chinese Traditional Culture in the Design of Cultural and Creative Products[J]. Packaging Engineering, 2025, 46(6): 238-249.
[18] 胡绮, 吴玉环, 万衡. 基于叙事理论-FAHP的工业文创产品设计研究[J]. 包装工程, 2025, 46(2): 156-167.
HU Q, WU Y H, WAN H.Research on Industrial Cultural and Creative Product Design Based on Narrative Theory -FAHP[J]. Packaging Engineering, 2025, 46(2): 156-167.
[19] 钟蕾, 李铭洋. 基于模糊层次分析法的大漆文创设计研究与实践[J]. 包装工程, 2024, 45(16): 323-333.
ZHONG L, LI M Y.Research and Practice on Lacquer Cultural and Creative Design Based on Fuzzy Analytic Hierarchy Process[J]. Packaging Engineering, 2024, 45(16): 323-333.
[20] 曲敏, 李一杰, 吴江. 海昏侯国遗址博物馆文创灯具设计与评价研究[J]. 家具与室内装饰, 2023, 30(11): 87-93.
QU M, LI YJ, WU J.Research on the Design and Evaluation of Cultural and Creative Lighting Fixtures in the Haihunhou Kingdom Ruins Museum[J]. Furniture and Interior Decoration, 2023, 30(11): 87-93.
[21] 周小童, 李静, 张敏, 张佳琦. 一卷江山——灯具产品设计[J]. 家具与室内装饰, 2022, 29(5): 73.
ZHOU X T, LI J, ZHANG M, ZHANG J Q.A Scroll of Land - Lighting Product Design[J]. Furniture & Interior Decoration, 2022, 29(5): 73.
[22] 吴伟, 王国辉, 顾丹. 残缺互补判断矩阵次序一致性及排序方法[J]. 辽宁工程技术大学学报(自然科学版), 2021, 40(3): 281-286.
WU W, WANG G H, GU D.Consistency of order and Sorting Method of incomplete complementary Judgment Matrix[J]. Journal of Liaoning Technical University (Natural Science Edition), 2021, 40(3): 281-286.
[23] 彭守平, 孙秉珍, 葸娟霞. 基于区间值的改进模糊BWM多标准决策方法及其应用[J]. 模糊系统与数学, 2020, 34(5): 77-89.
PENG S P, SUN B Z, XI J X.Improved Fuzzy BWM Multi-criteria Decision Method Based on Interval Values and Its Application[J]. Fuzzy Systems and Mathematics, 2020, 34(5): 77-89.
[24] 刘欣童, 廖晨阳, 陈岚, 陈一. 基于模糊层次分析法的导视系统布局研究[J]. 包装工程, 2021, 42(6): 258-264.
LIU X T, LIAO C Y, CHEN L, CHEN Y.Research on the Layout of Wayfinding System Based on Fuzzy Analytic Hierarchy Process[J]. Packaging Engineering, 2021, 42(6): 258-264.
[25] 潘书煜, 赵征鹏, 阳秋霞, 等. 基于ViT语义指导与结构感知增强的艺术风格迁移 [J/OL]. 计算机学报, 1-29[2025-07-29]. http://kns.cnki.net/kcms/detail/11.1826. tp.20250523.1249.002.html.
PAN S Y, ZHAO Z P, YANG Q X, et al. Artistic Style Transfer Based on ViT Semantic Guidance and Structural Perception Enhancement [J/OL]. Journal of computers, 1-29 [2025-07-29]. http://kns.cnki.net/kcms/ detail/11.1826.tp.20250523.1249.002.html.
[26] Han Y .Establish a novel neural network-based art design principles recognition model[J]. Expert Systems With Applications, 2025, 279 127073-127073.
[27] 孙利, 张硕, 覃忠志, 等. 基于感性意象和BP神经网络的产品CMF决策模型研究[J]. 包装工程, 2023, 44(12): 151-164.
SUN L, ZHANG S, QIN Z Z, et al.Research on Product CMF Decision Model Based on Perceptual Imagery and BP Neural Network[J] Packaging Engineering, 2023, 44(12): 151-164.
[28] 郭斌, 张秋韵, 方禹杨, 等. 计算美学: 计算科学驱动的视觉美学度量与生成 [J]. 包装工程, 2021, 42 (22): 62-77+102.
GUO B, ZHANG Q Y, FANG Y Y, et al. Computational Aesthetics: Measurement and Generation of Visual Aesthetics Driven by Computational Science [J]. Packaging Engineering, 2021, 42 (22): 62-77+102.
[29] 尹磊, 黄黎清, 李明珠. 基于人工神经网络的电动汽车前大灯意象造型设计研究[J]. 包装工程, 2021, 42(20): 159-166.
YIN L, HUANG L Q, LI M Z.Research on Image Modeling Design of Electric Vehicle HeadLights Based on Artificial Neural Network[J]. Packaging Engineering, 2021, 42(20): 159-166.