When users select products, they consider the emotional experience resulting from the color of the product. However, the emotional demands of users for product color are multidimensional and diverse. It is very important yet difficult to accurately grasp multiemotional image requirements and effectively convert them into design elements. Therefore, multiemotional product color design (MEPCD) has become a very important and challenging research topic. In this article, a novel MEPCD system using gray theory (GT) and nondominated sorting genetic algorithm‐III (NSGA‐III) is proposed to effectively solve the MEPCD problem. First, the image perception spaces of users, which exist in different emotional dimensions, were collected using factor analysis and the semantic differential technique. Then, GT was used to establish a multidimensional emotional product color image evaluation model. Finally, NSGA‐III was used to optimize and design a multiemotional color scheme for a product. Furthermore, according to actual conditions, an MEPCD system was established based on the proposed method. The design case study shows that the method and design system proposed in this article have a certain range of applicability and can effectively improve the practicality of MEPCD.

中文翻译：

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基于灰色理论和非支配排序遗传算法的多情感产品色彩设计

用户选择产品时，会考虑产品颜色带来的情感体验。然而，用户对产品颜色的情感需求是多维的和多样化的。准确地掌握多情感图像要求并将其有效地转换为设计元素非常重要，但是却很困难。因此，多情感产品色彩设计（MEPCD）已成为一个非常重要且具有挑战性的研究主题。本文提出了一种基于灰色理论（GT）和非支配排序遗传算法-III（NSGA-III）的新型MEPCD系统，以有效解决MEPCD问题。首先，利用因素分析和语义差分技术，收集了存在于不同情感维度的用户图像感知空间。然后，GT用于建立多维情感产品彩色图像评估模型。最后，NSGA-III用于优化和设计产品的多情感配色方案。此外，根据实际情况，基于该方法建立了MEPCD系统。设计实例研究表明，本文提出的方法和设计系统具有一定的适用性，可以有效提高MEPCD的实用性。