Symmetric Alignment Between Affective Semantics and Biomimetic Forms: Sustainable Packaging Design and Decision Support

计算机科学 排名(信息检索) 持续性 语义学(计算机科学) 仿生学 过程(计算) 可持续设计 质量功能配置 人工智能 资源(消歧) 构造(python库) 质量(理念) 决策支持系统 最大化 工作流程 选择(遗传算法) 领域(数学分析) 决策矩阵 数学 机器学习 过程管理 图表 灰色关联分析
作者
Yihang Fang,Yundong Qu
出处
期刊:Symmetry [Multidisciplinary Digital Publishing Institute]
卷期号:18 (1): 19-19 被引量:1
标识
DOI:10.3390/sym18010019
摘要

The symmetrical relationship between affective semantics and form bionics creates new possibilities for tea packaging. This study proposes a biologically inspired workflow for tea packaging design, effectively integrating natural forms, affective semantics, and sustainability assessment. First, ten natural forms suitable for bionic design were collected. The Affinity Diagram (AD) method was adopted based on evaluations from 20 consumers and tea merchants, yielding nine effective semantic and sustainability evaluation systems. Then, 10 domain experts scored the affective semantics, and the indicator weights were determined via the Precedence Chart (PC) method. The Quality Function Deployment (QFD) method was used to construct a relationship matrix between natural forms and affective semantics, identifying prioritized natural forms. Three biomimetic tea packaging designs were developed based on the three selected priority forms. Subsequently, the Criteria Importance Through Intercriteria Correlation (CRITIC) method calculated the objective weights of sustainability indicators. These weights were combined with Grey Relational Analysis (GRA) for comprehensive ranking to determine the optimal packaging scheme. The results show that stylish design (P1) has the highest weight among affective semantics, while low resource consumption (Q1) ranks first in sustainability evaluation indicators. Bamboo joint packaging was selected as the optimal design solution in the comprehensive ranking. This design process provides a methodological framework for tea packaging design, integrates biological bionics with affective semantics, and demonstrates potential for cross-category applications.

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