To achieve efficiency, diversity, and cultural authenticity in cultural product design and meet users' deep-seated needs, this study leverages AIGC-assisted design, combined with Grey Relational Analysis (GRA) and Analytic Hierarchy Process (AHP) for comprehensive evaluation, to develop a process and methodology for optimizing the pattern design of Chinese-style cultural products. The approach is validated through an assessment of refrigerator magnet pattern designs. Initially, the optimized design process and methodology are defined. Subsequently, user and expert prompts for representative Chinese-style refrigerator magnet pattern samples are collected through questionnaires and expert interviews. Next, design solutions are generated using Midjourney based on these representative samples and prompts. Finally, representative design solutions from each category are selected and evaluated by designers and consumers using a combined GRA and AHP approach, revealing that historical artifact-themed designs best align with user preferences. The AIGC-assisted generation of Chinese-style refrigerator magnet pattern designs effectively meets diverse user demands and enhances designers' productivity, while the combined GRA and AHP evaluation method ensures the reliability of the optimal solution selection. This design process for Chinese-style cultural product patterns offers valuable insights for related design fields.

Nandi Wang, Sangwon You. Research on GRA and AHP Evaluation of Chinese-Style Cultural Products Based on AIGC. Frontiers in Art Research (2025), Vol. 7, Issue 8: 50-64. https://doi.org/10.25236/FAR.2025.070809.

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