| 摘要: |
| 目的 在用户为中心的汽车设计过程中，为使色彩更符合用户偏好，提出使用粒子群算法 （PSO,Particle Swarm Optimization）对多用户偏好进行优化的汽车色彩设计方法。 方法 应用因子分析建立汽车色彩意象语言坐标空间，并构建用户色彩偏好和色彩样本在多维空间中的坐标映射关系；基于粒子群算法优化面状分布的多用户色彩偏好；并在多维空间中需找与之契合度最高的位置点，从而获得最符合用户偏好的色彩样本，辅助汽车设计师作出色彩决策。 结论 以两厢家用微型车外饰色彩为例，研究男性和女性的不同色彩偏好，验证此方法的合理性和可行性。 |
| 关键词: 汽车色彩 多用户偏好 粒子群算法 映射空间坐标系 |
| DOI： |
| 分类号:TB472 |
| 基金项目:国家自然科学基金资助项目（71161018） |
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| Car Exterior Color Based on Multi-users' Preferences |
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XU Qiu-ying1, YANG Ming-lang1, LIU Wei-dong2,3, YAN He-min4
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1.Nanchang University, Nanchang 330031, China;2.1. Nanchang University, Nanchang 330031, China;3.2. Nanchang Aviation University, Nanchang 330031, China;4.Nanchang Aviation University, Nanchang 330031, China
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| Abstract: |
| User's preference is the center of modern car design activities. In order to make car exterior color more in line with User's preference, it proposes a color decision method through optimizing multi-uses' preferences using Particle Swarm Optimization(PSO). Factor analysis and manual dimensionality reduction are used to simplify and construct a mapping coordinate, which provides the correspondences between color words of user preference and car exterior color samples. PSO is used to optimized multi-uses' preferences, that are Planar distribution. The optimized multi-uses' preferences is input into the mapping coordinate. The nearest color sample position is considered as the needed exterior color matching with multi-uses' preferences mostly. A major color decision for micro hatchback car exterior is taken as an example. By studying different color preferences of men and women, the feasibility and effectiveness of the presented method are demonstrated. |
| Key words: car exterior color multi-uses' preferences PSO mapping coordinate |
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