基于基因表达式编程的产品材质意象决策支持模型

摘要

To solve the customization requirement of customers to products, a product material image decision-making support model based on Gene Expression Programming （GEP） was proposed. The semantics differential method was used to extract users＂ image, and the multi-dimensional scaling was used to select cognitive samples. The map ping relationship between image and semantic was constructed by quantification I. The relation model of image and material was constructed by using GEP. The testing results revealed that GEP could solve the material image deci sion-making problem and the model had better prediction and high stability.%为解决客户对产品客制化的需求，提出基于基因表达式编程的产品材质意象决策方法。运用语意差异法提取用户的意象，用多维等级分析法挑选认知样本，并数量化一类建立意象与语意映射，应用基因表达式编程建立了意象与材质关系模型。测试结果表明，基因表达式编程建立的关系模型能够更好地解决产品材质意象决策问题，具有较好的预测效果和较强的稳定性。