产品造型感性评价中的粒子群优化共识达成机制

Consensus reaching mechanism for product form Kansei evaluation based on Particle Swarm Optimization

为提高产品造型设计方案的适应性与评价结果的可靠性,针对传统感性评价方法未考虑评价人员共识的问题,建立了评价群体共识度模型,借助层次分析法计算评价指标权重,引入粒子群优化算法对评价矩阵进行优化,提出了基于产品造型感性评价共识度达成流程。以摄像头造型的感性评价为例验证了该方法有助于提升评价群体的共识度。

To improve the adaptability and reliability of product modeling design schemes,the traditional kansei evaluation method didn＇t considerate the consensus problem of evaluation staff.The Analytic Hierarchy Process method was used to calculate weight of evaluation staff.The particle swarm optimization was applied to optimize the evaluation matrix.The kansei evaluation consensus was reached based on the production modeling kansei evaluation.The sensory evaluation of security camera was taken as an example to verify that this method can help to improve the consensus degree of evaluated group.