Evolutionary design method for transforming ceramic cultural elements into cultural and creative products

Article type: Research Article

Authors: Wu, Yixiang^{; *}

Affiliations: Yiwu Industrial and Commercial College, Yiwu, Zhejiang, China

Correspondence: [*] Corresponding author. Yixiang Wu, Yiwu Industrial and Commercial College, No. 2 Xueyuan Road, Yiwu 322000, Zhejiang, China. E-mail: [email protected].

Abstract: Cultural and creative products are empowered through cultural connotation in the market with ever-changing customer needs. Analyzing user preferences and matching them with product design elements has become the focus of research. Taking ceramic bracelet as the research example, this study proposed an evolutionary system which integrates the interactive genetic algorithm with artificial neural network and fuzzy analytic hierarchy process based on evaluation grid method. First, the cultural genes were extracted from cultural products as the design elements. Second, the attractiveness characteristics of the products and customer demand dimension information were analyzed by evaluation grid method. Third, the fuzzy analytic hierarchy process was used to assign weight values to the 3 users’ perceptual evaluation vocabularies. Fourth, the artificial neural network algorithm was incorporated into the fitness evaluation stage of the interactive algorithm to reduce information distortion caused by evaluation fatigue. Finally, after training the samples using the back propagation neural network, 8 design schemes with a fitness value exceeding 4.5 were obtained. The iterative curve indicated that after the 51st generation, the error accuracy approached 0.09. The experimental results verified that the system could help to improve the efficiency of product design, and design products that are more in line with user needs.

Keywords: Cultural and creative product, interactive genetic algorithm, evaluation grid method

DOI: 10.3233/JIFS-231906

Journal: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 5, pp. 7297-7315, 2023