Creative Design and Evaluation of New Chinese-Style Furniture Combining Stable Diffusion with CRITIC–VIKOR Method

Abstract

Traditional furniture design relies heavily on designers’ prior knowledge and limited individual capacity, which often results in insufficient innovation capability and low product development efficiency. To overcome these limitations, this study introduces advanced Artificial Intelligence Generated Content (AIGC) technology and proposes an integrated creative design and evaluation framework for new Chinese-style furniture that combines Stable Diffusion (SD) with the CRITIC–VIKOR method. The proposed method aims to enhance research and development efficiency and creativity while enabling a comprehensive assessment of generated furniture design alternatives. Specifically, the SD model within the AIGC technology is employed to train and generate innovative furniture design images. After identifying affective words that represents user needs, the CRITIC–VIKOR method is applied to calculate the objective weights of user needs and to conduct a multi-criteria evaluation of the creative schemes, thereby determining the optimal scheme. The proposed method effectively integrates the strengths of generative technologies and quantitative decision-making approaches. It facilitates the rapid generation of diverse creative concepts while systematically selecting the optimal scheme that best satisfies user requirements, thereby promoting the development of the furniture industry and fostering the inheritance and innovative advancement of traditional culture.