基于粗糙集的产品色彩意象规则挖掘

Rules mining of product color image based on rough set

为挖掘消费者对产品色彩意象认知的规则,将粗糙集理论运用到产品色彩意象方案的设计中。通过意象等级及设计要素生成分辩矩阵,对矩阵进行属性约简,去除冗余属性,获取产品色彩核心的设计要素;通过CAAI算法对各设计要素进行重要度排序,并进行信息增益计算,建立决策树,从决策树中提取到目标产品的色彩意象规则;以加湿器的色彩方案为例,验证了该方法的有效性。

In order to obtain the consumer perception rules of product color image, the rough set theory was applied to the design of product color image. The discernibility matrix was generated through the image level and design element. The properties of matrix were simplified and the redundant properties were taken out to obtain the design element of product color core.The importance degree rank was performed on the each of design element through the CAAI algorithm. The information gain calculation was performed and the decision-making tree was established. The color image role of target product was extracted from the decision-making tree. The method was proved to be valid and feasible with an example of humidifier color design.