融合FAHP-TOPSIS-DC GAN方法的传统吉祥元素仿生壁灯创新设计研究

李晓帆, 张一舟

包装工程(设计栏目) ›› 2026, Vol. 47 ›› Issue (14) : 417-427.

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包装工程(设计栏目) ›› 2026, Vol. 47 ›› Issue (14) : 417-427. DOI: 10.19554/j.cnki.1001-3563.2026.14.035
设计研讨

融合FAHP-TOPSIS-DC GAN方法的传统吉祥元素仿生壁灯创新设计研究

  • 李晓帆1, 张一舟2,*
作者信息 +

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

  • LI Xiaofan1, ZHANG Yizhou2,*
Author information +
文章历史 +

摘要

目的 应用深度卷积生成对抗网络(DC GAN)构建吉祥元素应用于仿生家居设计的可持续设计方法,设计出符合现代用户审美和家居环境的产品。方法 基于TOPSIS、FAHP和DC GAN的集成方法,旨在实现吉祥元素仿生壁灯的可持续设计。首先,利用TOPSIS方法对众多吉祥元素进行评价,筛选出最具代表性的吉祥元素类别。其次,通过模糊层次分析法(FAHP)构建吉祥元素壁灯设计需求的递阶层级分析,确定各指标权重,为设计提供依据。最后,应用深度卷积生成对抗网络(DC GAN)模型对所选方案进行优化和模拟,对吉祥元素纹样造型样本图片进行训练与生成,再经设计师参与优化,进一步改进设计方案。结论 通过结合FAHP、TOPSIS和DC GAN方法,实现了传统文化应用于仿生产品设计的设计效率。验证了多方法结合在复杂设计问题中的应用潜力,为未来的可持续设计提供了有力支持。

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.

关键词

深度卷积生成对抗网络 / 文创产品 / 家居设计 / 可持续设计 / FAHP/TOPSIS

Key words

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

引用本文

导出引用1
李晓帆, 张一舟. 融合FAHP-TOPSIS-DC GAN方法的传统吉祥元素仿生壁灯创新设计研究[J]. 包装工程. 2026, 47(14): 417-427 https://doi.org/10.19554/j.cnki.1001-3563.2026.14.035
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
中图分类号: TB482   

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