Application of Yao Embroidery Pattern Food Mold Design Based on Multi-Source Data Fusion
This research explores the application of Yao embroidery patterns in modern food mold design to promote the inheritance of Chinese traditional culture.A variety of research methods are employed to deeply investigate target users'aesthetic and design needs for food molds.The study first constructs a dual-objective Fuzzy Analytic Hierarchy Process(FAHP)model,gathering demand information through interviews with target users,and then uses the Entropy Weight TOPSIS method to quantitatively evaluate and screen design elements.To ensure the relevance and effectiveness of the problem-solving process,the Approximate Ideal Solution Sorting method,combined with expert credibility,is applied to determine the key criterion layer and identify core issues in combination with FAHP weight results.Based on this,a Yao embroidery gene sample library is constructed,and shape grammar is applied for pattern derivation,successfully designing 15 food mold solutions incorporating Yao embroidery elements.After evaluation using the Grey Relational Analysis method,the optimal design solution is finalized for practical application.This study not only verifies the practicality and rationality of integrating FAHP,Entropy Weight TOPSIS,and shape grammar in the innovative design of Yao embroidery patterns but also offers new ideas for the integration of Yao embroidery culture with modern design.
Yao embroideryFAHPEntropy weight TOPSISShape grammarPattern design
万方数据
维普
