Understanding the needs of consumers is essential to the success of product design. Affective responses are a reflection of affective needs, often encompassing many aspects. Therefore, the process of designing products capable of satisfying multiple affective responses (MARs) falls into the category of multi-objective optimization (MOO). To solve the MOO problem, most existing approaches require the information for decision-making before or during the solving process, which limits their usefulness to designers or consumers. This paper proposes a posterior preference articulation approach to Kansei engineering system aimed at optimizing product form design to deal with MARs simultaneously. Design analysis is first used to identify design variables and MARs. Based on these results, a MOO model that involves maximizing MRAs is constructed. An improved version of the strength Pareto evolutionary algorithm (SPEA2) is applied to solve this MOO model so as to obtain Pareto solutions. After that, the Choquet fuzzy integral, which has the ability to take into account the interaction among the MARs, is employed to determine the optimal design from the Pareto solutions in accordance with the consumer preference. A case study involving the design of a vase form was conducted to illustrate the proposed approach. The results demonstrate that this approach can effectively obtain the optimal design solution, and be used as a universal approach for optimizing product form design concerning MARs.

中文翻译：

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用于产品形式设计的感性工程系统的后验偏好衔接方法

了解消费者的需求对于产品设计的成功至关重要。情感反应是情感需求的反映，通常包括许多方面。因此，设计能够满足多重情感反应（MAR）的产品的过程属于多目标优化（MOO）的范畴。为了解决 MOO 问题，大多数现有方法都需要在解决过程之前或过程中进行决策的信息，这限制了它们对设计者或消费者的有用性。本文针对感性工程系统提出了一种后验偏好衔接方法，旨在优化产品形式设计以同时处理 MAR。设计分析首先用于识别设计变量和 MAR。基于这些结果，构建了一个涉及最大化 MRA 的 MOO 模型。应用强度帕累托进化算法（SPEA2）的改进版本来求解该MOO模型以获得帕累托解。之后，使用能够考虑 MAR 之间相互作用的 Choquet 模糊积分，根据消费者偏好从帕累托解中确定最优设计。进行了涉及花瓶形式设计的案例研究来说明所提出的方法。结果表明，该方法能够有效地获得最优设计方案，可作为一种通用的MARs产品形态设计优化方法。具有考虑 MAR 之间相互作用的能力，用于根据消费者偏好从帕累托解决方案中确定最佳设计。进行了一个涉及花瓶形式设计的案例研究，以说明所提出的方法。结果表明，该方法能够有效地获得最优设计方案，可作为一种通用的MARs产品形态设计优化方法。具有考虑 MAR 之间相互作用的能力，用于根据消费者偏好从帕累托解决方案中确定最佳设计。进行了涉及花瓶形式设计的案例研究来说明所提出的方法。结果表明，该方法可以有效地获得最优设计方案，可作为一种通用的MARs产品形态设计优化方法。